Object

org.pmml4s.model

ContScoringMethod

Related Doc: package model

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object ContScoringMethod extends Enumeration

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Enumeration, Serializable, Serializable, AnyRef, Any
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  1. ContScoringMethod
  2. Enumeration
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Type Members

  1. type ContScoringMethod = Value

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  2. class Val extends Value with Serializable

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    Attributes
    protected
    Definition Classes
    Enumeration
    Annotations
    @SerialVersionUID()

  3. abstract class Value extends Ordered[Value] with Serializable

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    Enumeration
    Annotations
    @SerialVersionUID()

  4. class ValueSet extends AbstractSet[Value] with SortedSet[Value] with SortedSetLike[Value, ValueSet] with Serializable

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    Definition Classes
    Enumeration

Value Members

  1. final def !=(arg0: Any): Boolean

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    AnyRef → Any

  2. final def ##(): Int

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    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    AnyRef → Any

  4. final def Value(i: Int, name: String): Value

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    protected
    Definition Classes
    Enumeration

  5. final def Value(name: String): Value

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    protected
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  6. final def Value(i: Int): Value

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    protected
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    Enumeration

  7. final def Value: Value

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    protected
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    Enumeration

  8. final def apply(x: Int): Value

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    Definition Classes
    Enumeration

  9. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  10. val average: Value

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    - median: continuous targets, predicted target is the median of targets for the k-nearest neighbors.

    - median: continuous targets, predicted target is the median of targets for the k-nearest neighbors. - average: continuous targets, predicted target is the average of targets for the k-nearest neighbors. - weightedAverage: continuous targets, predicted target is the weighted average of targets for the k-nearest neighbors. The weights are proportional to the inverse of the distance from each k-neighbor to the query point.

  11. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    AnyRef

  13. def equals(arg0: Any): Boolean

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    AnyRef → Any

  14. def finalize(): Unit

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

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

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  16. def hashCode(): Int

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    AnyRef → Any

  17. final def isInstanceOf[T0]: Boolean

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    Any

  18. final def maxId: Int

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    Definition Classes
    Enumeration

  19. val median: Value

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    - median: continuous targets, predicted target is the median of targets for the k-nearest neighbors.

    - median: continuous targets, predicted target is the median of targets for the k-nearest neighbors. - average: continuous targets, predicted target is the average of targets for the k-nearest neighbors. - weightedAverage: continuous targets, predicted target is the weighted average of targets for the k-nearest neighbors. The weights are proportional to the inverse of the distance from each k-neighbor to the query point.

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

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    Definition Classes
    AnyRef

  21. var nextId: Int

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    protected
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    Enumeration

  22. var nextName: Iterator[String]

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    Attributes
    protected
    Definition Classes
    Enumeration

  23. final def notify(): Unit

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    Definition Classes
    AnyRef

  24. final def notifyAll(): Unit

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    AnyRef

  25. def readResolve(): AnyRef

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    Attributes
    protected
    Definition Classes
    Enumeration

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

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    AnyRef

  27. def toString(): String

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    Enumeration → AnyRef → Any

  28. def values: ValueSet

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    Definition Classes
    Enumeration

  29. final def wait(): Unit

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    AnyRef
    Annotations
    @throws( ... )

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

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    @throws( ... )

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

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    Definition Classes
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    Annotations
    @throws( ... )

  32. val weightedAverage: Value

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    - median: continuous targets, predicted target is the median of targets for the k-nearest neighbors.

    - median: continuous targets, predicted target is the median of targets for the k-nearest neighbors. - average: continuous targets, predicted target is the average of targets for the k-nearest neighbors. - weightedAverage: continuous targets, predicted target is the weighted average of targets for the k-nearest neighbors. The weights are proportional to the inverse of the distance from each k-neighbor to the query point.

  33. final def withName(s: String): Value

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    Definition Classes
    Enumeration

Inherited from Enumeration

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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