nak.util

ConfusionMatrix

class ConfusionMatrix[L, I] extends AnyRef

A confusion matrix for comparing gold clusters to some predicted clusters.

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Instance Constructors

  1. new ConfusionMatrix(labels: Seq[L], counts: Seq[Seq[Int]], examples: Seq[Seq[Seq[I]]])

    counts

    the matrix, where each cell is the number of data points that had a given gold label and predicted label

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. lazy val detailedOutput: String

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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  12. def formatPercent(percent: Double): String

  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. lazy val lineSeparator: String

  17. lazy val measurements: String

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

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  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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  21. lazy val numLabels: Int

  22. def safeDivide(num: Double, denom: Double): Double

  23. lazy val scores: Scores

  24. lazy val stringRep: String

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

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  26. def toString(): String

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  27. final def wait(): Unit

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

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

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