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o

org.pmml4s.model

AlgorithmType

object AlgorithmType extends Enumeration

Defines model types used by the anomaly model.

Linear Supertypes
Enumeration, Serializable, AnyRef, Any
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Inherited
  1. AlgorithmType
  2. Enumeration
  3. Serializable
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Visibility
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Type Members

  1. type AlgorithmType = Value
  2. class Val extends Value with Serializable
    Attributes
    protected
    Definition Classes
    Enumeration
    Annotations
    @SerialVersionUID()
  3. abstract class Value extends Ordered[Value] with Serializable
    Definition Classes
    Enumeration
    Annotations
    @SerialVersionUID()
  4. class ValueSet extends AbstractSet[Value] with SortedSet[Value] with SortedSetOps[Value, SortedSet, ValueSet] with StrictOptimizedIterableOps[Value, Set, ValueSet] with Serializable
    Definition Classes
    Enumeration

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def Value(i: Int, name: String): Value
    Attributes
    protected
    Definition Classes
    Enumeration
  5. final def Value(name: String): Value
    Attributes
    protected
    Definition Classes
    Enumeration
  6. final def Value(i: Int): Value
    Attributes
    protected
    Definition Classes
    Enumeration
  7. final def Value: Value
    Attributes
    protected
    Definition Classes
    Enumeration
  8. final def apply(x: Int): Value
    Definition Classes
    Enumeration
  9. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  10. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  11. 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.

  12. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  14. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  15. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  16. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  17. 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.

  18. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  19. final def maxId: Int
    Definition Classes
    Enumeration
  20. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  21. var nextId: Int
    Attributes
    protected
    Definition Classes
    Enumeration
  22. var nextName: Iterator[String]
    Attributes
    protected
    Definition Classes
    Enumeration
  23. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  24. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  25. 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.

  26. 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.

  27. def readResolve(): AnyRef
    Attributes
    protected
    Definition Classes
    Enumeration
  28. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  29. def toString(): String
    Definition Classes
    Enumeration → AnyRef → Any
  30. def values: ValueSet
    Definition Classes
    Enumeration
  31. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  32. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  33. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  34. final def withName(s: String): Value
    Definition Classes
    Enumeration
  35. implicit object ValueOrdering extends Ordering[Value]
    Definition Classes
    Enumeration

Inherited from Enumeration

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped