Class

ml.sparkling.graph.operators.OperatorsDSL

DSL

Related Doc: package OperatorsDSL

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implicit class DSL[VD, ED] extends AnyRef

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Instance Constructors

  1. new DSL(graph: Graph[VD, ED])(implicit arg0: ClassTag[VD], arg1: ClassTag[ED])

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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. def PSCAN(epsilon: Double = 0.1): Graph[ComponentID, ED]

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  5. def adamicAdar(treatAsUndirected: Boolean = false): Graph[NeighboursMap, Double]

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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  8. def closenessCentrality(vertexMeasureConfiguration: VertexMeasureConfiguration[VD, ED] = VertexMeasureConfiguration())(implicit num: Numeric[ED]): Graph[Double, ED]

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  9. def commonNeighbours(treatAsUndirected: Boolean = false): Graph[NeighbourSet, Int]

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  10. def degreeCentrality(vertexMeasureConfiguration: VertexMeasureConfiguration[VD, ED] = VertexMeasureConfiguration())(implicit num: Numeric[ED]): Graph[(Int, Int), ED]

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  11. def eigenvectorCentrality(vertexMeasureConfiguration: VertexMeasureConfiguration[VD, ED] = VertexMeasureConfiguration())(implicit num: Numeric[ED]): Graph[Double, ED]

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

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  13. def equals(arg0: Any): Boolean

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  14. def finalize(): Unit

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  15. def freemanCentrality(): Double

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

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  17. def hashCode(): Int

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  18. def hits(vertexMeasureConfiguration: VertexMeasureConfiguration[VD, ED] = VertexMeasureConfiguration())(implicit num: Numeric[ED]): Graph[(Double, Double), ED]

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  19. final def isInstanceOf[T0]: Boolean

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  20. def localClustering(vertexMeasureConfiguration: VertexMeasureConfiguration[VD, ED] = VertexMeasureConfiguration())(implicit num: Numeric[ED]): Graph[Double, ED]

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

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  22. def neighborhoodConnectivity(vertexMeasureConfiguration: VertexMeasureConfiguration[VD, ED] = VertexMeasureConfiguration())(implicit num: Numeric[ED]): Graph[Double, ED]

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  23. final def notify(): Unit

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  24. final def notifyAll(): Unit

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  25. def partitionBy(communityDetectionMethod: CommunityDetectionAlgorithm)(implicit sc: SparkContext): Graph[VD, ED]

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  26. def partitionBy(communityDetectionMethod: CommunityDetectionMethod[VD, ED])(implicit sc: SparkContext): Graph[VD, ED]

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  27. def predictLinks[EV, EO](edgeMeasure: EdgeMeasure[EO, EV], threshold: EO, treatAsUndirected: Boolean = false)(implicit arg0: ClassTag[EV], arg1: ClassTag[EO], num: Numeric[EO]): RDD[(VertexId, VertexId)]

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

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  29. def toString(): String

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  30. def vertexEmbeddedness(vertexMeasureConfiguration: VertexMeasureConfiguration[VD, ED] = VertexMeasureConfiguration())(implicit num: Numeric[ED]): Graph[Double, ED]

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  31. final def wait(): Unit

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

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

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