org.apache.spark.mllib.tree.model

InformationGainStats

class InformationGainStats extends Serializable

:: DeveloperApi :: Information gain statistics for each split

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@DeveloperApi()
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Instance Constructors

  1. new InformationGainStats(gain: Double, impurity: Double, leftImpurity: Double, rightImpurity: Double, predict: Double)

    gain

    information gain value

    impurity

    current node impurity

    leftImpurity

    left node impurity

    rightImpurity

    right node impurity

    predict

    predicted value

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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  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. def finalize(): Unit

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  11. val gain: Double

    information gain value

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

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  13. def hashCode(): Int

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  14. val impurity: Double

    current node impurity

  15. final def isInstanceOf[T0]: Boolean

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  16. val leftImpurity: Double

    left node impurity

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. val predict: Double

    predicted value

  21. val rightImpurity: Double

    right node impurity

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

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  23. def toString(): String

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    InformationGainStats → AnyRef → Any

  24. final def wait(): Unit

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

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

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