Class

net.sansa_stack.inference.spark.utils.RDDUtils

RDDOps

Related Doc: package RDDUtils

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implicit class RDDOps[T] extends AnyRef

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  1. new RDDOps(rdd: RDD[T])(implicit arg0: ClassTag[T])

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  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 equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: 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. def partitionBy(f: (T) ⇒ Boolean): (RDD[T], RDD[T])

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    Splits an RDD into two parts based on the given filter function.

    Splits an RDD into two parts based on the given filter function. Note, that filtering is done twice on the same data twice, thus, caching beforehand is recommended!

    f

    the boolean filter function

    returns

    two RDDs

  16. def span(f: (T) ⇒ Boolean): (RDD[T], RDD[T])

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    Splits an RDD into two parts based on the given filter function

    Splits an RDD into two parts based on the given filter function

    f

    the boolean filter function

    returns

    two RDDs

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

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  18. def toString(): String

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  19. final def wait(): Unit

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

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

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