cc.factorie.app.classify

PerLabelLogOdds

class PerLabelLogOdds[L <: DiscreteVar, F <: VectorVar] extends AnyRef

Calculate the weighted log-odds ratio: p(w|c) * log(p(w|c)/p(w|!c)) for each word w and label c. Ranks highly those words that substantially contribute to positively predicting label c.

Since

0.10

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Instance Constructors

  1. new PerLabelLogOdds(labels: Iterable[L], labelToFeatures: (L) ⇒ F)

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. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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

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  9. def equals(arg0: Any): Boolean

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  10. val featureDomain: variable.DiscreteDomain

  11. def finalize(): Unit

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

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  13. def hashCode(): Int

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  14. def init(labels: Iterable[L]): Unit

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    protected
  15. val instanceDomain: VectorDomain

  16. final def isInstanceOf[T0]: Boolean

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  17. val labelDomain: variable.DiscreteDomain

  18. var labelEntropies: Array[Double]

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

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  20. final def notify(): Unit

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  21. final def notifyAll(): Unit

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

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  23. def toString(): String

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  24. def top(labelValue: DiscreteValue, n: Int): TopN[String]

  25. def top(labelIndex: Int, n: Int): TopN[String]

  26. final def wait(): Unit

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

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

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