Class

org.apache.spark.mllib.tree.model

InformationGainStats

Related Doc: package model

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class InformationGainStats extends Serializable

:: DeveloperApi :: Information gain statistics for each split

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@Since( "1.0.0" ) @DeveloperApi()
Source
InformationGainStats.scala
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Instance Constructors

  1. new InformationGainStats(gain: Double, impurity: Double, leftImpurity: Double, rightImpurity: Double, leftPredict: Predict, rightPredict: Predict)

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    gain

    information gain value

    impurity

    current node impurity

    leftImpurity

    left node impurity

    rightImpurity

    right node impurity

    leftPredict

    left node predict

    rightPredict

    right node predict

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(o: Any): Boolean

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    InformationGainStats → AnyRef → Any

  8. def finalize(): Unit

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

  9. val gain: Double

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    information gain value

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

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  11. def hashCode(): Int

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    InformationGainStats → AnyRef → Any

  12. val impurity: Double

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    current node impurity

  13. final def isInstanceOf[T0]: Boolean

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  14. val leftImpurity: Double

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    left node impurity

  15. val leftPredict: Predict

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    left node predict

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

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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  19. val rightImpurity: Double

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    right node impurity

  20. val rightPredict: Predict

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    right node predict

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

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  22. def toString(): String

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  23. final def wait(): Unit

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

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

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