Class

com.twitter.scalding.mathematics

DimsumInCosine

Related Doc: package mathematics

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class DimsumInCosine[N] extends TypedSimilarity[N, (Weight, L2Norm), Double]

Source
TypedSimilarity.scala
Linear Supertypes
TypedSimilarity[N, (Weight, L2Norm), Double], Serializable, AnyRef, Any
Type Hierarchy
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Inherited
  1. DimsumInCosine
  2. TypedSimilarity
  3. Serializable
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Visibility
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Instance Constructors

  1. new DimsumInCosine(minCos: Double, delta: Double, boundedProb: Double, reducers: Int = 1)(implicit nodeOrdering: Ordering[N])

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Value Members

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

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    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. def apply(graph: typed.TypedPipe[Edge[N, (Weight, L2Norm)]], smallpred: (N) ⇒ Boolean, bigpred: (N) ⇒ Boolean): typed.TypedPipe[Edge[N, Double]]

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    Given a TypedPipe of edges, and a predicate for a smaller group (smallpred) of nodes and a bigger group (bigpred), compute the similarity between each item in the two sets The Edge.from nodes in the result will all satisfy smallpred, and the Edge.to will all satisfy bigpred.

    Given a TypedPipe of edges, and a predicate for a smaller group (smallpred) of nodes and a bigger group (bigpred), compute the similarity between each item in the two sets The Edge.from nodes in the result will all satisfy smallpred, and the Edge.to will all satisfy bigpred. It is more efficient if you keep the smallpred set smaller.

    Definition Classes
    DimsumInCosineTypedSimilarity
  5. def apply(g: typed.TypedPipe[Edge[N, (Weight, L2Norm)]]): typed.TypedPipe[Edge[N, Double]]

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    Definition Classes
    TypedSimilarity
  6. final def asInstanceOf[T0]: T0

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    Any
  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    @throws( ... )
  8. final def eq(arg0: AnyRef): Boolean

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    AnyRef
  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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    Any
  14. final def ne(arg0: AnyRef): Boolean

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    AnyRef
  15. implicit val nodeOrdering: Ordering[N]

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    Definition Classes
    DimsumInCosineTypedSimilarity
  16. final def notify(): Unit

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

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

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

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Inherited from TypedSimilarity[N, (Weight, L2Norm), Double]

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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