InfoGainSplitCriterion

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

   Attributes

   protected[java.lang]

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   @throws( ... )

8. def entropy(post: Array[Array[Double]]): Double

   Computes the entropy of an matrix

   Computes the entropy of an matrix

   post

   the matrix as an Array of Array

   returns

   the entropy

9. def entropy(pre: Array[Double]): Double

   Returns the entropy of a distribution

   Returns the entropy of a distribution

   pre

   an Array containing the distribution

   returns

   the entropy

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

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11. def equals(arg0: Any): Boolean

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12. def finalize(): Unit

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    protected[java.lang]

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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. def merit(pre: Array[Double], post: Array[Array[Double]]): Double

    Computes the merit of splitting for a given distribution before and after the split.

    Computes the merit of splitting for a given distribution before and after the split.

    pre

    the class distribution before the split

    post

    the class distribution after the split

    returns

    value of the merit of splitting

    Definition Classes

    InfoGainSplitCriterion → SplitCriterion

17. var minBranch: Double

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

    Definition Classes

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19. final def notify(): Unit

    Definition Classes

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20. final def notifyAll(): Unit

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21. def numGTFrac(post: Array[Array[Double]], minFrac: Double): Int

    Returns number of subsets which have values greater than minFrac

    Returns number of subsets which have values greater than minFrac

    post

    he matrix as an Array of Array

    minFrac

    the min threshold

    returns

    number of subsets

22. def rangeMerit(pre: Array[Double]): Double

    Computes the range of splitting merit

    Computes the range of splitting merit

    pre

    the class distribution before the split

    returns

    value of the range of splitting merit

    Definition Classes

    InfoGainSplitCriterion → SplitCriterion

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

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24. def toString(): String

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25. final def wait(): Unit

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

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

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