Target

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. val castInteger: Option[CastInteger]

   If a regression model should predict integers, use the attribute castInteger to control how decimal places should be handled.

8. def categories: Array[Any]

9. def clone(): AnyRef

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10. def defaultValue: Option[Double]

11. def displayValue(value: Any): Option[String]

12. lazy val displayValues: Map[Any, String]

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

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14. def equals(arg0: Any): Boolean

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15. def extensions: Seq[Extension]

    Definition Classes

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16. val field: Option[String]

    must refer to a name of a DataField or DerivedField.

    must refer to a name of a DataField or DerivedField. It can be absent when the model is used inside a Segment of a MiningModel and does not have a real target field in the input data

17. def finalize(): Unit

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    protected[java.lang]

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

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

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19. def hasExtensions: Boolean

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20. def hashCode(): Int

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21. final def isInstanceOf[T0]: Boolean

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22. val max: Option[Double]

    If max is present, the predicted value will be max if it is larger than that.

23. val min: Option[Double]

    If min is present, the predicted value will be the value of min if it is smaller than that.

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

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25. final def notify(): Unit

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26. final def notifyAll(): Unit

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27. val optype: Option[OpType]

    When Target specifies optype then it overrides the optype attribute in a corresponding MiningField, if it exists.

    When Target specifies optype then it overrides the optype attribute in a corresponding MiningField, if it exists. If the target does not specify optype then the MiningField is used as default. And, in turn, if the MiningField does not specify an optype, it is taken from the corresponding DataField. In other words, a MiningField overrides a DataField, and a Target overrides a MiningField.

28. def postPredictedValue(predictedValue: Double): Double

29. lazy val priorPredictedValue: Any

30. def priorProbabilities: Map[Any, Double]

31. val rescaleConstant: Double

    can be used for simple rescale of the predicted value: First off, the predicted value is multiplied by rescaleFactor.

32. val rescaleFactor: Double

    after that, rescaleConstant is added to the predicted value.

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

    Definition Classes

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34. val targetValues: Array[TargetValue]

    In classification models, TargetValue is required.

    In classification models, TargetValue is required. For regression models, TargetValue is only optional.

35. def toString(): String

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36. final def wait(): Unit

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

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

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