edu.arizona.sista.learning

RFJob

Related Doc: package learning

class RFJob[L, F] extends AnyRef

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Instance Constructors

  1. new RFJob(dataset: CounterDataset[L, F], trainIndices: Array[Int], oobIndices: Array[Int], activeNodes: Set[(Int, Double)], nilLabel: Option[L], featureThresholds: Array[Array[Double]], currentUtility: Double, random: Random)

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. val activeNodes: Set[(Int, Double)]

  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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  7. val currentUtility: Double

  8. val dataset: CounterDataset[L, F]

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

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  10. def equals(arg0: Any): Boolean

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  11. val featureThresholds: Array[Array[Double]]

  12. def features: Set[Int]

  13. def finalize(): Unit

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

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  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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  17. def labelCounts: Counter[Int]

  18. def labelDist: Counter[Int]

  19. def leafLabels: Counter[Int]

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

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  21. val nilLabel: Option[L]

  22. final def notify(): Unit

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  23. final def notifyAll(): Unit

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  24. def oobAccuracy(tree: RFTree): Double

  25. val oobIndices: Array[Int]

  26. def printDataset(): Unit

  27. val random: Random

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

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  29. def toString(): String

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    RFJob → AnyRef → Any

  30. val trainIndices: Array[Int]

  31. final def wait(): Unit

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

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

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