Class

org.clustering4ever.spark.clustering.mtm

SomTrainerA

Related Doc: package mtm

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class SomTrainerA extends AbstractTrainer

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AbstractTrainer, Serializable, Serializable, AnyRef, Any
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  1. SomTrainerA
  2. AbstractTrainer
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Instance Constructors

  1. new SomTrainerA(metric: RawContinuousDistance = new RawEuclidean(true))

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Type Members

  1. class SomModel extends AbstractModel

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    Attributes
    protected

  2. class SomNeuron extends AbstractPrototype

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    Attributes
    protected

  3. class SomObsA extends Serializable

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    Attributes
    protected

Value Members

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

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  2. final def ##(): Int

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

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  4. val DEFAULT_INITMAP: Int

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  5. val DEFAULT_INITMAPFile: String

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  6. val DEFAULT_SEPARATOR: String

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  7. val DEFAULT_SOM_COL: Int

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  8. val DEFAULT_SOM_ROW: Int

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  9. val DEFAULT_TMAX: Int

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  10. val DEFAULT_TMIN: Int

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  11. val SIZE_REAL_VARS: Int

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  12. def affectations(dataset: RDD[NamedVector]): RDD[(Int, Int)]

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  13. final def asInstanceOf[T0]: T0

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  14. def clone(): AnyRef

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

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

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  16. def equals(arg0: Any): Boolean

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  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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    Definition Classes
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  19. def getLastConvergence(): Double

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    Definition Classes
    AbstractTrainer

  20. def getLastIt: Int

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    Definition Classes
    AbstractTrainer

  21. def getLastTrainingDuration: FiniteDuration

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    Definition Classes
    AbstractTrainer

  22. def getModel: AbstractModel

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    Attributes
    protected
    Definition Classes
    SomTrainerA → AbstractTrainer

  23. def hashCode(): Int

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    Definition Classes
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  24. var initMap: Int

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  25. var initMapFile: String

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  26. def initModel(dataset: RDD[Array[Double]], modelOptions: Option[Map[String, String]]): Unit

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    Attributes
    protected
    Definition Classes
    SomTrainerA → AbstractTrainer

  27. final def isInstanceOf[T0]: Boolean

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

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    Definition Classes
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  29. final def notify(): Unit

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    Definition Classes
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  30. final def notifyAll(): Unit

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    Definition Classes
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  31. def processT(maxIt: Int, currentIt: Int): Double

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    Attributes
    protected

  32. def purity(dataset: RDD[NamedVector]): Double

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  33. var sep: String

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  34. var sizeRealVars: Int

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

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    Definition Classes
    AnyRef

  36. var theSOMModel: Option[SomModel]

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    Attributes
    protected

  37. var tmax: Double

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  38. var tmin: Double

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  39. def toString(): String

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    Definition Classes
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  40. final def training(dataset: RDD[Array[Double]], modelOptions: Option[Map[String, String]] = None, maxIteration: Int = 100, endConvergeDistance: Double = 0.001): AbstractModel

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    Definition Classes
    AbstractTrainer

  41. def trainingIteration(dataset: RDD[Array[Double]], currentIteration: Int, maxIteration: Int): Double

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    Attributes
    protected
    Definition Classes
    SomTrainerA → AbstractTrainer

  42. final def wait(): Unit

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    @throws( ... )

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

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

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Inherited from AbstractTrainer

Inherited from Serializable

Inherited from Serializable

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