org.apache.spark.rdd

DoubleRDDFunctions

class DoubleRDDFunctions extends Logging with Serializable

Extra functions available on RDDs of Doubles through an implicit conversion. Import org.apache.spark.SparkContext._ at the top of your program to use these functions.

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  1. DoubleRDDFunctions
  2. Serializable
  3. Serializable
  4. Logging
  5. AnyRef
  6. Any
Visibility
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Instance Constructors

  1. new DoubleRDDFunctions(self: RDD[Double])

Value Members

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

    Definition Classes
    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[lang]
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    @throws()
  8. final def eq(arg0: AnyRef): Boolean

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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    protected[lang]
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  11. final def getClass(): java.lang.Class[_]

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  12. def hashCode(): Int

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  13. def initLogging(): Unit

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    protected
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    Logging
  14. final def isInstanceOf[T0]: Boolean

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  15. def isTraceEnabled(): Boolean

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    protected
    Definition Classes
    Logging
  16. def log: Logger

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    protected
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    Logging
  17. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    protected
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    Logging
  18. def logDebug(msg: ⇒ String): Unit

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    protected
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    Logging
  19. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Logging
  20. def logError(msg: ⇒ String): Unit

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    protected
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    Logging
  21. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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  22. def logInfo(msg: ⇒ String): Unit

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    protected
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    Logging
  23. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    protected
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    Logging
  24. def logTrace(msg: ⇒ String): Unit

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    protected
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    Logging
  25. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    protected
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    Logging
  26. def logWarning(msg: ⇒ String): Unit

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    protected
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  27. def mean(): Double

    Compute the mean of this RDD's elements.

  28. def meanApprox(timeout: Long, confidence: Double = 0.95): PartialResult[BoundedDouble]

    (Experimental) Approximate operation to return the mean within a timeout.

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

    Definition Classes
    AnyRef
  30. final def notify(): Unit

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

    Definition Classes
    AnyRef
  32. def sampleStdev(): Double

    Compute the sample standard deviation of this RDD's elements (which corrects for bias in estimating the standard deviation by dividing by N-1 instead of N).

  33. def sampleVariance(): Double

    Compute the sample variance of this RDD's elements (which corrects for bias in estimating the variance by dividing by N-1 instead of N).

  34. def stats(): StatCounter

    Return a StatCounter object that captures the mean, variance and count of the RDD's elements in one operation.

  35. def stdev(): Double

    Compute the standard deviation of this RDD's elements.

  36. def sum(): Double

    Add up the elements in this RDD.

  37. def sumApprox(timeout: Long, confidence: Double = 0.95): PartialResult[BoundedDouble]

    (Experimental) Approximate operation to return the sum within a timeout.

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

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  39. def toString(): String

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  40. def variance(): Double

    Compute the variance of this RDD's elements.

  41. final def wait(): Unit

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

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

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Inherited from Serializable

Inherited from Serializable

Inherited from Logging

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