org.pmml4s.model

AlgorithmType

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

  2. class Val extends Value with Serializable

    Attributes
    protected
    Definition Classes
    Enumeration
    Annotations
    @SerialVersionUID( -3501153230598116017L )

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

    Definition Classes
    Enumeration
    Annotations
    @SerialVersionUID( 7091335633555234129L )

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

    Definition Classes
    Enumeration

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

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

    Attributes
    protected
    Definition Classes
    Enumeration

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

    Attributes
    protected
    Definition Classes
    Enumeration

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

    Attributes
    protected
    Definition Classes
    Enumeration

  9. final def Value: Value

    Attributes
    protected
    Definition Classes
    Enumeration

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

    Definition Classes
    Enumeration

  11. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  12. def clone(): AnyRef

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

  13. val clusterMeanDist: Value

    - 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.

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

    Definition Classes
    AnyRef

  15. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    AnyRef → Any
    Annotations
    @HotSpotIntrinsicCandidate()

  17. def hashCode(): Int

    Definition Classes
    AnyRef → Any
    Annotations
    @HotSpotIntrinsicCandidate()

  18. val iforest: Value

    - 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.

  19. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  20. final def maxId: Int

    Definition Classes
    Enumeration

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

    Definition Classes
    AnyRef

  22. var nextId: Int

    Attributes
    protected
    Definition Classes
    Enumeration

  23. var nextName: Iterator[String]

    Attributes
    protected
    Definition Classes
    Enumeration

  24. final def notify(): Unit

    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate()

  25. final def notifyAll(): Unit

    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate()

  26. val ocsvm: Value

    - 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. val other: Value

    - 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.

  28. def readResolve(): AnyRef

    Attributes
    protected
    Definition Classes
    Enumeration

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

    Definition Classes
    AnyRef

  30. def toString(): String

    Definition Classes
    Enumeration → AnyRef → Any

  31. def values: ValueSet

    Definition Classes
    Enumeration

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  34. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    Enumeration

Deprecated Value Members

  1. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @Deprecated @deprecated @throws( classOf[java.lang.Throwable] )
    Deprecated

    (Since version ) see corresponding Javadoc for more information.

Inherited from Enumeration

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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