Class

au.csiro.variantspark.algo

RandomForestMember

Related Doc: package algo

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case class RandomForestMember[V](predictor: PredictiveModelWithImportance[V], oobIndexes: Array[Int] = null, oobPred: Array[Int] = null) extends Product with Serializable

Implements random forest members conditionally

predictor

the predictor model

oobIndexes

an array of out-of-bag index values

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@SerialVersionUID()
Linear Supertypes
Serializable, Serializable, Product, Equals, AnyRef, Any
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  1. RandomForestMember
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Instance Constructors

  1. new RandomForestMember(predictor: PredictiveModelWithImportance[V], oobIndexes: Array[Int] = null, oobPred: Array[Int] = null)

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    predictor

    the predictor model

    oobIndexes

    an array of out-of-bag index values

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 finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )

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

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  9. final def isInstanceOf[T0]: Boolean

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

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  11. final def notify(): Unit

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  12. final def notifyAll(): Unit

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  13. val oobIndexes: Array[Int]

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    an array of out-of-bag index values

  14. val oobPred: Array[Int]

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  15. val predictor: PredictiveModelWithImportance[V]

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    the predictor model

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

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  17. final def wait(): Unit

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    @throws( ... )

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

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

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Inherited from Serializable

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Inherited from Product

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