Value Members

1.  final def !=(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

2.  final def ##(): Int

   Definition Classes

   AnyRef → Any

3.  def +(other: StreamingHistogram): StreamingHistogram

   Create a new histogram from this one and another without altering either.

4.  final def ==(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

5.  def areaUnderCurve(): Double

   Return the area under the curve.

6.  final def asInstanceOf[T0]: T0

   Definition Classes

   Any

7.  def binCounts(): Seq[(Double, Long)]

   Return sequence of tuples pairing bin label value and to its associated count.

   Return sequence of tuples pairing bin label value and to its associated count.

   Definition Classes

   Histogram

8.  def bucketCount(): Int

   The number of buckets utilized by this Histogram.

   The number of buckets utilized by this Histogram.

   Definition Classes

   StreamingHistogram → Histogram

9.  def buckets(): List[Bucket]

   Return the list of buckets of this histogram.

   Return the list of buckets of this histogram. Primarily useful for debugging and serialization.

10.  def cdf(): Array[(Double, Double)]

    Return an array of x, cdf(x) pairs

    Return an array of x, cdf(x) pairs

    Definition Classes

    StreamingHistogram → Histogram

11.  def clone(): AnyRef

    Attributes

    protected[lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... ) @native()

12.  def countItem(item: Double, count: Long): Unit

    Note the occurance of 'item'.

    Note the occurance of 'item'.

    The optional parameter 'count' allows histograms to be built more efficiently. Negative counts can be used to remove a particular number of occurances of 'item'.

    Definition Classes

    StreamingHistogram → MutableHistogram

13.  def countItem(item: Double): Unit

    Note the occurance of 'item'.

    Note the occurance of 'item'.

    Definition Classes

    MutableHistogram

14.  def countItemInt(item: Int, count: Long): Unit

    Note the occurance of 'item'.

    Note the occurance of 'item'.

    The optional parameter 'count' allows histograms to be built more efficiently. Negative counts can be used to remove a particular number of occurances of 'item'.

    Definition Classes

    StreamingHistogram → MutableHistogram

15.  def countItemInt(item: Int): Unit

    Note the occurance of 'item'.

    Note the occurance of 'item'.

    Definition Classes

    MutableHistogram

16.  def countItems(items: Seq[Double])(implicit dummy: DummyImplicit): Unit

    Note the occurances of 'items'.

17.  def countItems(items: Seq[Bucket]): Unit

    Note the occurances of 'items'.

18.  def deltas(): List[Delta]

    Return the list of deltas of this histogram.

    Return the list of deltas of this histogram. Primarily useful for debugging.

19.  final def eq(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

20.  def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

21.  def finalize(): Unit

    Attributes

    protected[lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

22.  def foreach(f: (Double, Long) ⇒ Unit): Unit

    Execute the given function on each bucket.

    Execute the given function on each bucket. The value contained by the bucket is a Double, and the count is an integer (ergo the signature of the function 'f').

    Definition Classes

    StreamingHistogram → Histogram

23.  def foreachValue(f: (Double) ⇒ Unit): Unit

    Execute the given function on each bucket label.

    Execute the given function on each bucket label.

    f

    A unit function of one parameter

    Definition Classes

    StreamingHistogram → Histogram

24.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

25.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

26.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

27.  def itemCount(item: Double): Long

    Get the (approximate) number of occurrences of an item.

    Get the (approximate) number of occurrences of an item.

    Definition Classes

    StreamingHistogram → Histogram

28.  def maxBucketCount(): Int

    Return the maximum number of buckets of this histogram.

    Return the maximum number of buckets of this histogram.

    Definition Classes

    StreamingHistogram → Histogram

29.  def maxValue(): Option[Double]

    Gets the maximum value this histogram has seen

    Gets the maximum value this histogram has seen

    Definition Classes

    StreamingHistogram → Histogram

30.  def mean(): Option[Double]

    Return the approximate mean of the histogram.

    Return the approximate mean of the histogram.

    Definition Classes

    StreamingHistogram → Histogram

31.  def median(): Option[Double]

    Return the approximate median of the histogram.

    Return the approximate median of the histogram.

    Definition Classes

    StreamingHistogram → Histogram

32.  def merge(histogram: Histogram[Double]): StreamingHistogram

    Return the sum of this histogram and the given one (the sum is the histogram that would result from seeing all of the values seen by the two antecedent histograms).

    Return the sum of this histogram and the given one (the sum is the histogram that would result from seeing all of the values seen by the two antecedent histograms).

    Definition Classes

    StreamingHistogram → Histogram

33.  def minMaxValues(): Option[(Double, Double)]

    Return the smallest and largest items seen as a tuple.

    Return the smallest and largest items seen as a tuple.

    Definition Classes

    Histogram

34.  def minValue(): Option[Double]

    Get the minimum value this histogram has seen.

    Get the minimum value this histogram has seen.

    Definition Classes

    StreamingHistogram → Histogram

35.  def mode(): Option[Double]

    Return the approximate mode of the distribution.

    Return the approximate mode of the distribution. This is done by simply returning the label of most populous bucket (so this answer could be really bad).

    Definition Classes

    StreamingHistogram → Histogram

36.  def mutable(): StreamingHistogram

    Return a mutable copy of this histogram.

    Return a mutable copy of this histogram.

    Definition Classes

    StreamingHistogram → Histogram

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

    Definition Classes

    AnyRef

38.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

39.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

40.  def percentile(q: Double): Double
41.  def percentileBreaks(qs: Seq[Double]): Seq[Double]

    For each q in qs, all between 0 and 1, find a number (approximately) at the qth percentile.

    For each q in qs, all between 0 and 1, find a number (approximately) at the qth percentile.

    qs

    A list of quantiles (0.01 == 1th pctile, 0.2 == 20th pctile) to use in generating breaks

    Note

    Our aim here is to produce values corresponding to the qs which stretch from minValue to maxValue, interpolating based on observed bins along the way

42.  def percentileRanking(item: Double): Double

    Get the (approximate) percentile of this item.

43.  def quantileBreaks(num: Int): Array[Double]

    This method returns the (approximate) quantile breaks of the distribution of points that the histogram has seen so far.

    This method returns the (approximate) quantile breaks of the distribution of points that the histogram has seen so far. It is guaranteed that no value in the returned array will be outside the minimum-maximum range of values seen.

    num

    The number of breaks desired

    Definition Classes

    StreamingHistogram → MutableHistogram → Histogram

44.  def rawValues(): Array[Double]

    Return an array containing the values seen by this histogram.

    Return an array containing the values seen by this histogram.

    Definition Classes

    StreamingHistogram → Histogram

45.  def setItem(item: Double, count: Long): Unit

    Make a change to the distribution to approximate changing the value of a particular item.

    Make a change to the distribution to approximate changing the value of a particular item.

    Definition Classes

    StreamingHistogram → MutableHistogram

    Note

    _min and _max, the minimum and maximum values seen by the histogram, are not changed by this.

46.  def statistics(): Option[Statistics[Double]]

    Generate Statistics.

    Generate Statistics.

    Definition Classes

    StreamingHistogram → Histogram

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

    Definition Classes

    AnyRef

48.  def toString(): String

    Definition Classes

    AnyRef → Any

49.  def totalCount(): Long

    Total number of samples used to build this histogram.

    Total number of samples used to build this histogram.

    Definition Classes

    StreamingHistogram → Histogram

50.  def uncountItem(item: Double): Unit

    Uncount item.

    Uncount item.

    Definition Classes

    StreamingHistogram → MutableHistogram

    Note

    _min and _max, the minimum and maximum values seen by the histogram, are not changed by this.

51.  def update(other: Histogram[Double]): Unit

    Update this histogram with the entries from another.

    Update this histogram with the entries from another.

    Definition Classes

    StreamingHistogram → MutableHistogram

52.  def values(): Array[Double]

    Return an array of bucket values.

    Return an array of bucket values.

    Definition Classes

    StreamingHistogram → Histogram

53.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... ) @native()