Class/Object

com.tencent.angel.ml.clustering.kmeans

KMeansModel

Related Docs: object KMeansModel | package kmeans

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class KMeansModel extends MLModel

Linear Supertypes
MLModel, AnyRef, Any
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  1. KMeansModel
  2. MLModel
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Instance Constructors

  1. new KMeansModel(conf: Configuration, _ctx: TaskContext = null)

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. def addPSModel(psModel: PSModel): KMeansModel.this.type

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    Definition Classes
    MLModel

  5. def addPSModel(name: String, psModel: PSModel): KMeansModel.this.type

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    Definition Classes
    MLModel

  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. val centerDist: Array[Double]

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  8. val centers: PSModel

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  9. def clone(): AnyRef

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

  10. implicit def ctx: TaskContext

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    Definition Classes
    MLModel

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

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    Definition Classes
    AnyRef

  12. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  13. def finalize(): Unit

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

  14. def findClosestCenter(x: Vector): (Int, Double, Double)

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    Calculate the distance between instance and centers, and find the closest center

    Calculate the distance between instance and centers, and find the closest center

    x

    : a instance

    returns

    : the closest center id

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

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    Definition Classes
    AnyRef → Any

  16. def getK: Int

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    returns

    : Number of clusters

  17. def getPSModel(name: String): PSModel

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    Definition Classes
    MLModel

  18. def getPSModels: Map[String, PSModel]

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    Definition Classes
    MLModel

  19. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  20. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  21. var lcCenters: List[Vector]

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  22. var lcV: IntFloatVector

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  23. val modelSize: Long

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

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    Definition Classes
    AnyRef

  25. final def notify(): Unit

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    Definition Classes
    AnyRef

  26. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  27. def predict(storage: DataBlock[LabeledData]): DataBlock[PredictResult]

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    Predict use the PSModels and predict data

    Predict use the PSModels and predict data

    storage

    predict data

    returns

    predict result

    Definition Classes
    KMeansModel → MLModel

  28. def pullCentersFromPS(): Unit

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    Pull centers from PS to local worker

  29. def pullVFromPS(): Unit

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    Pull mini-batch samples from PS to local worker

  30. def setLoadPath(conf: Configuration): KMeansModel.this.type

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    Definition Classes
    MLModel

  31. def setSavePath(conf: Configuration): KMeansModel.this.type

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    Definition Classes
    MLModel

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

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    Definition Classes
    AnyRef

  33. def toString(): String

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    Definition Classes
    AnyRef → Any

  34. def updateCenterDist(idx: Int): Unit

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  35. val v: PSModel

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  36. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from MLModel

Inherited from AnyRef

Inherited from Any

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