Object

org.pmml4s.model

AlgorithmType

Related Doc: package model

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object AlgorithmType extends Enumeration

Defines model types used by the anomaly model.

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

  1. type AlgorithmType = Value

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  2. class Val extends Value with Serializable

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    @SerialVersionUID()
  3. abstract class Value extends Ordered[Value] with Serializable

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    @SerialVersionUID()
  4. class ValueSet extends AbstractSet[Value] with SortedSet[Value] with SortedSetLike[Value, ValueSet] with Serializable

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Value Members

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

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    AnyRef → Any
  2. final def ##(): Int

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

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

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

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

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  7. final def Value: Value

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

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  9. final def asInstanceOf[T0]: T0

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  10. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  11. val clusterMeanDist: Value

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    - iforest indicates an isolation forest model which uses a MiningModel element.

    - iforest indicates an isolation forest model which uses a MiningModel element. - ocsvm indicates a one-class SVM model which corresponds to a SupportVectorMachineModel element. - clusterMeanDist indicates a clustering mean distance based anomaly detection model. - other stands for any other model.

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

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    AnyRef
  13. def equals(arg0: Any): Boolean

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  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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  17. val iforest: Value

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    - iforest indicates an isolation forest model which uses a MiningModel element.

    - iforest indicates an isolation forest model which uses a MiningModel element. - ocsvm indicates a one-class SVM model which corresponds to a SupportVectorMachineModel element. - clusterMeanDist indicates a clustering mean distance based anomaly detection model. - other stands for any other model.

  18. final def isInstanceOf[T0]: Boolean

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  19. final def maxId: Int

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

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  21. var nextId: Int

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  22. var nextName: Iterator[String]

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  23. final def notify(): Unit

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  24. final def notifyAll(): Unit

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  25. val ocsvm: Value

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    - iforest indicates an isolation forest model which uses a MiningModel element.

    - iforest indicates an isolation forest model which uses a MiningModel element. - ocsvm indicates a one-class SVM model which corresponds to a SupportVectorMachineModel element. - clusterMeanDist indicates a clustering mean distance based anomaly detection model. - other stands for any other model.

  26. val other: Value

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    - iforest indicates an isolation forest model which uses a MiningModel element.

    - iforest indicates an isolation forest model which uses a MiningModel element. - ocsvm indicates a one-class SVM model which corresponds to a SupportVectorMachineModel element. - clusterMeanDist indicates a clustering mean distance based anomaly detection model. - other stands for any other model.

  27. def readResolve(): AnyRef

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

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  29. def toString(): String

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    Enumeration → AnyRef → Any
  30. def values: ValueSet

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  31. final def wait(): Unit

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

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    @throws( ... )
  33. final def wait(arg0: Long): Unit

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    @throws( ... )
  34. final def withName(s: String): Value

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Inherited from Enumeration

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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