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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: AnyRef): Boolean

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8.  def finalize(): Unit

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

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10.  def hashCode(): Int

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11.  def histogram(buckets: Array[Double], evenBuckets: Boolean = false): SCollection[Array[Long]]

    Compute a histogram using the provided buckets.

    Compute a histogram using the provided buckets. The buckets are all open to the right except for the last which is closed e.g. for the array [1, 10, 20, 50] the buckets are [1, 10) [10, 20) [20, 50] e.g 1<=x<10, 10<=x<20, 20<=x<=50. And on the input of 1 and 50 we would have a histogram of [1, 0, 1].

    Note: if your histogram is evenly spaced (e.g. [0, 10, 20, 30]) this can be switched from an O(log n) insertion to O(1) per element. (where n = # buckets) if you set evenBuckets to true.

    buckets must be sorted and not contain any duplicates. buckets array must be at least two elements. All NaN entries are treated the same. If you have a NaN bucket it must be the maximum value of the last position and all NaN entries will be counted in that bucket.

12.  def histogram(bucketCount: Int): (SCollection[Array[Double]], SCollection[Array[Long]])

    Compute a histogram of the data using bucketCount number of buckets evenly spaced between the minimum and maximum of the SCollection.

    Compute a histogram of the data using bucketCount number of buckets evenly spaced between the minimum and maximum of the SCollection. For example if the min value is 0 and the max is 100 and there are two buckets the resulting buckets will be [0, 50) [50, 100]. bucketCount must be at least 1. If the SCollection contains infinity, NaN throws an exception. If the elements in SCollection do not vary (max == min) always returns a single bucket.

13.  final def isInstanceOf[T0]: Boolean

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

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15.  final def notify(): Unit

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16.  final def notifyAll(): Unit

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17.  def sampleStdev: SCollection[Double]

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

18.  def sampleVariance: SCollection[Double]

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

19.  def stats: SCollection[StatCounter]

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

20.  def stdev: SCollection[Double]

    Compute the standard deviation of this SCollection's elements.

21.  final def synchronized[T0](arg0: => T0): T0

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22.  def toString(): String

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23.  def variance: SCollection[Double]

    Compute the variance of this SCollection's elements.

24.  final def wait(): Unit

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

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26.  final def wait(arg0: Long): Unit

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    @throws(classOf[java.lang.InterruptedException]) @native()