org.apache.spark.util

StatCounter

class StatCounter extends Serializable

A class for tracking the statistics of a set of numbers (count, mean and variance) in a numerically robust way. Includes support for merging two StatCounters. Based on Welford and Chan's algorithms for running variance.

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Instance Constructors

  1. new StatCounter()

    Initialize the StatCounter with no values.

  2. new StatCounter(values: TraversableOnce[Double])

    Initialize the StatCounter with the given values.

Value Members

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

    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

    Definition Classes
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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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    protected[java.lang]
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    @throws( ... )

  6. def copy(): StatCounter

    Clone this StatCounter

  7. def count: Long

  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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    @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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  14. def max: Double

  15. def mean: Double

  16. def merge(other: StatCounter): StatCounter

    Merge another StatCounter into this one, adding up the internal statistics.

  17. def merge(values: TraversableOnce[Double]): StatCounter

    Add multiple values into this StatCounter, updating the internal statistics.

  18. def merge(value: Double): StatCounter

    Add a value into this StatCounter, updating the internal statistics.

  19. def min: Double

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

    Definition Classes
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  21. final def notify(): Unit

    Definition Classes
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  22. final def notifyAll(): Unit

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  23. def sampleStdev: Double

    Return the sample standard deviation of the values, which corrects for bias in estimating the variance by dividing by N-1 instead of N.

  24. def sampleVariance: Double

    Return the sample variance, which corrects for bias in estimating the variance by dividing by N-1 instead of N.

  25. def stdev: Double

    Return the standard deviation of the values.

  26. def sum: Double

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

    Definition Classes
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  28. def toString(): String

    Definition Classes
    StatCounter → AnyRef → Any

  29. def variance: Double

    Return the variance of the values.

  30. final def wait(): Unit

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

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

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