org.pmml4s.model

RuleSet

class RuleSet extends PmmlElement

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PmmlElement, Serializable, Serializable, HasExtensions, AnyRef, Any
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Instance Constructors

  1. new RuleSet(ruleSelectionMethods: Array[RuleSelectionMethod], scoreDistributions: ScoreDistributions, rules: Array[Rule], recordCount: Option[Int], nbCorrect: Option[Int], defaultScore: Option[Any], defaultConfidence: Option[Double])

    ruleSelectionMethods

    specifies how to select rules from the ruleset to score a new case. If more than one method is included, the first method is used as the default method for scoring, but the other methods included may be selected by the application wishing to perform scoring as valid alternative methods.

    scoreDistributions

    describe the distribution of the predicted value in the test/training data.

    rules

    contains 0 or more rules which comprise the ruleset.

    recordCount

    The number of training/test cases to which the ruleset was applied to generate support and confidence measures for individual rules.

    nbCorrect

    indicates the number of training/test instances for which the default score is correct.

    defaultScore

    The value of score in a RuleSet serves as the default predicted value when scoring a case no rules in the ruleset fire.

    defaultConfidence

    provides a confidence to be returned with the default score (when scoring a case and no rules in the ruleset fire).

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. val defaultConfidence: Option[Double]

    provides a confidence to be returned with the default score (when scoring a case and no rules in the ruleset fire).

  9. val defaultScore: Option[Any]

    The value of score in a RuleSet serves as the default predicted value when scoring a case no rules in the ruleset fire.

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

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  11. def equals(arg0: Any): Boolean

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  12. def extensions: Seq[Extension]

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  13. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  14. def fire(series: Series): Array[SimpleRule]

  15. def first(series: Series): Option[SimpleRule]

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

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  17. def hasExtensions: Boolean

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  18. def hashCode(): Int

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  19. final def isInstanceOf[T0]: Boolean

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  20. val nbCorrect: Option[Int]

    indicates the number of training/test instances for which the default score is correct.

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

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  22. final def notify(): Unit

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  23. final def notifyAll(): Unit

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  24. val recordCount: Option[Int]

    The number of training/test cases to which the ruleset was applied to generate support and confidence measures for individual rules.

  25. val ruleSelectionMethods: Array[RuleSelectionMethod]

    specifies how to select rules from the ruleset to score a new case.

    specifies how to select rules from the ruleset to score a new case. If more than one method is included, the first method is used as the default method for scoring, but the other methods included may be selected by the application wishing to perform scoring as valid alternative methods.

  26. val rules: Array[Rule]

    contains 0 or more rules which comprise the ruleset.

  27. val scoreDistributions: ScoreDistributions

    describe the distribution of the predicted value in the test/training data.

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

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  29. def toString(): String

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  30. final def wait(): Unit

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    @throws( ... )
  31. final def wait(arg0: Long, arg1: Int): Unit

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

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Inherited from PmmlElement

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