ml.sparkling.graph.operators.measures.hits

Hits

object Hits extends VertexMeasure[(Double, Double)]

Created by Roman Bartusiak ([email protected] http://riomus.github.io).

Linear Supertypes
VertexMeasure[(Double, Double)], AnyRef, Any
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  1. final def !=(arg0: AnyRef): Boolean

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

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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

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    protected[java.lang]
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    @throws( ... )
  8. def compute[VD, ED](graph: Graph[VD, ED], vertexMeasureConfiguration: VertexMeasureConfiguration[VD, ED])(implicit arg0: ClassTag[VD], arg1: ClassTag[ED], num: Numeric[ED]): Graph[(Double, Double), ED]

    Computes normalized hits (hub,auth) for each vertex

    Computes normalized hits (hub,auth) for each vertex

    VD

    - vertex data type

    ED

    - edge data type

    graph

    - computation graph

    vertexMeasureConfiguration

    - configuration of computation

    num

    - numeric for @ED

    returns

    graph where each vertex is associated with its hits values (hub,auth)

    Definition Classes
    Hits → VertexMeasure
  9. def compute[VD, ED](graph: Graph[VD, ED])(implicit arg0: ClassTag[VD], arg1: ClassTag[ED], num: Numeric[ED]): Graph[(Double, Double), _]

    Definition Classes
    VertexMeasure
  10. def computeHits[VD, ED](graph: Graph[VD, ED], continuePredicate: (Long, (Double, Double), (Double, Double)) ⇒ Boolean = convergencePredicate(1e-8), normalize: Boolean = true)(implicit arg0: ClassTag[VD], arg1: ClassTag[ED]): Graph[(Double, Double), ED]

    Generic hits (hub,auth) computation method, should be used for extensions, computations are done until @continuePredicate gives true

    Generic hits (hub,auth) computation method, should be used for extensions, computations are done until @continuePredicate gives true

    VD

    - vertex data type

    ED

    - edge data type

    graph

    - computation graph

    continuePredicate

    - convergence predicate

    normalize

    - if true, output values are normalized

    returns

    graph where each vertex is associated with its eigenvector

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

    Definition Classes
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  12. def equals(arg0: Any): Boolean

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  13. def finalize(): Unit

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

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  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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

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  21. def toString(): String

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  22. final def wait(): Unit

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

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

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    @throws( ... )

Inherited from VertexMeasure[(Double, Double)]

Inherited from AnyRef

Inherited from Any

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