Class

ml.sparkling.graph.generators.wattsandstrogatz

WattsAndStrogatzGeneratorConfiguration

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case class WattsAndStrogatzGeneratorConfiguration(numberOfNodes: Long, meanDegree: Long, rewiringProbability: Double, mixing: Boolean = true, randomNumberGeneratorProvider: RandomNumberGeneratorProvider = ..., storageLevel: StorageLevel = StorageLevel.MEMORY_ONLY, partitions: Int = 1) extends GraphGeneratorConfiguration with Product with Serializable

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  1. WattsAndStrogatzGeneratorConfiguration
  2. Product
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  4. GraphGeneratorConfiguration
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Instance Constructors

  1. new WattsAndStrogatzGeneratorConfiguration(numberOfNodes: Long, meanDegree: Long, rewiringProbability: Double, mixing: Boolean = true, randomNumberGeneratorProvider: RandomNumberGeneratorProvider = ..., storageLevel: StorageLevel = StorageLevel.MEMORY_ONLY, partitions: Int = 1)

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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. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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

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  7. def finalize(): Unit

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

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  9. final def isInstanceOf[T0]: Boolean

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  10. val meanDegree: Long

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  11. val mixing: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. val numberOfNodes: Long

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  16. val partitions: Int

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  17. val randomNumberGeneratorProvider: RandomNumberGeneratorProvider

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  18. val rewiringProbability: Double

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  19. val storageLevel: StorageLevel

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

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  21. final def wait(): Unit

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

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

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