Class

com.tencent.angel.ml.clustering.kmeans

KMeansTrainTask

Related Doc: package kmeans

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class KMeansTrainTask extends TrainTask[LongWritable, Text]

Kmeans clustering algorithm aims to partition sample points into n clusters, in which each point belongs to the cluster with the nearest distance to the cluster center.

Linear Supertypes
TrainTask[LongWritable, Text], BaseTask[LongWritable, Text, LabeledData], BaseTaskInterface[LongWritable, Text, LabeledData], AnyRef, Any
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  1. KMeansTrainTask
  2. TrainTask
  3. BaseTask
  4. BaseTaskInterface
  5. AnyRef
  6. Any
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Visibility
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Instance Constructors

  1. new KMeansTrainTask(ctx: TaskContext)

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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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    AnyRef → Any

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

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    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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

  6. val ctx: TaskContext

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  7. val dataFormat: String

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  8. val dataParser: DataParser

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

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    Definition Classes
    AnyRef

  10. def equals(arg0: Any): Boolean

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  11. val feaNum: Int

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  12. def finalize(): Unit

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

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

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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

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  17. final def notify(): Unit

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    AnyRef

  18. final def notifyAll(): Unit

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  19. def parse(key: LongWritable, value: Text): LabeledData

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    Parse input text to trainning data

    Parse input text to trainning data

    key

    the key type

    value

    the value

    Definition Classes
    KMeansTrainTask → BaseTask → BaseTaskInterface

  20. def preProcess(arg0: TaskContext): Unit

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    Definition Classes
    BaseTask → BaseTaskInterface

  21. final def run(taskContext: TaskContext): Unit

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    Definition Classes
    TrainTask → BaseTask → BaseTaskInterface

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

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  23. def toString(): String

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    Definition Classes
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  24. def train(ctx: TaskContext): Unit

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    Definition Classes
    KMeansTrainTask → TrainTask

  25. final def wait(): Unit

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    @throws( ... )

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

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

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Inherited from TrainTask[LongWritable, Text]

Inherited from BaseTask[LongWritable, Text, LabeledData]

Inherited from BaseTaskInterface[LongWritable, Text, LabeledData]

Inherited from AnyRef

Inherited from Any

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