org.apache.spark.streamdm.tasks

ClusteringTrainEvaluate

class ClusteringTrainEvaluate extends Task

Task for evaluating a clustering on a stream by first applying the clustering and then evaluating the cluster statistics.

It uses the following options:

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  1. ClusteringTrainEvaluate
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Instance Constructors

  1. new ClusteringTrainEvaluate()

Value Members

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

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

    Definition Classes
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  3. final def ##(): Int

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

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

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

    Attributes
    protected[java.lang]
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    @throws( ... )
  8. val clustererOption: ClassOption

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

    Definition Classes
    AnyRef
  10. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  11. val evaluatorOption: ClassOption

  12. def finalize(): Unit

    Attributes
    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

    Definition Classes
    AnyRef
  18. final def notifyAll(): Unit

    Definition Classes
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  19. val resultsWriterOption: ClassOption

  20. def run(ssc: StreamingContext): Unit

    Run the task.

    Run the task.

    ssc

    The Spark Streaming context in which the task is run.

    Definition Classes
    ClusteringTrainEvaluateTask
  21. val streamReaderOption: ClassOption

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

    Definition Classes
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  23. def toString(): String

    Definition Classes
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  24. final def wait(): Unit

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    @throws( ... )
  25. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  26. final def wait(arg0: Long): Unit

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Inherited from Task

Inherited from Configurable

Inherited from Serializable

Inherited from AnyRef

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