Class

net.sansa_stack.rdf.spark.partition.graph.evaluation

PartitionAlgoMetrics

Related Doc: package evaluation

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class PartitionAlgoMetrics[VD, ED] extends Serializable

Evaluator for partition strategy.

VD

the vertex attribute associated with each vertex in the set.

ED

the edge attribute associated with each edge in the set.

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Instance Constructors

  1. new PartitionAlgoMetrics(ps: PartitionAlgo[VD, ED])(implicit arg0: ClassTag[VD], arg1: ClassTag[ED])

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    ps

    Partition Strategy

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. final def asInstanceOf[T0]: T0

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  5. def balance(): Double

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    Denote the ratio between the maximum number of edges in one partition and the average number of edges in all partitions

  6. def clone(): AnyRef

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

  7. def duplication(): Double

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    Denote the ratio of a partition strategy between the total number of edges in partitioned graph and those in original graph

  8. def efficiency(): Double

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    Denote percentage of edges that not replicated from original graph to partitioned graph

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

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

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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

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  19. def toString(): String

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  20. final def wait(): Unit

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

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

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Inherited from Serializable

Inherited from Serializable

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