FastMapHistogram

Instance Constructors

new FastMapHistogram(_size: Int, _buckets: Array[Int], _counts: Array[Long], _used: Int, _total: Long)

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
def binCounts(): Seq[(Int, 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
def bucketCount(): Int

The number of buckets utilized by this FastMapHistogram.
The number of buckets utilized by this FastMapHistogram.

Definition Classes
FastMapHistogram → Histogram
def cdf(): Array[(Double, Double)]

CDF of the distribution.
CDF of the distribution.

Definition Classes
FastMapHistogram → Histogram
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def countItem(item: Int, count: Long): Unit

For the value 'item', register the appearance of 'count' more instances of it.
For the value 'item', register the appearance of 'count' more instances of it.

Definition Classes
FastMapHistogram → MutableHistogram
def countItem(item: Int): Unit

Note the occurance of 'item'.
Note the occurance of 'item'.

Definition Classes
MutableHistogram
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
MutableIntHistogram → MutableHistogram
def countItemInt(item: Int): Unit

Note the occurance of 'item'.
Note the occurance of 'item'.

Definition Classes
MutableHistogram
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
def foreach(f: (Int, Long) ⇒ Unit): Unit

Execute the given function on the value and count of each bucket in the histogram.
Execute the given function on the value and count of each bucket in the histogram.

Definition Classes
IntHistogram → Histogram
def foreachValue(f: (Int) ⇒ Unit): Unit

Execute the given function on each value seen by the histogram.
Execute the given function on each value seen by the histogram.
f
A unit function of one integer parameter

Definition Classes
FastMapHistogram → Histogram
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def hashCode(): Int

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def itemCount(item: Int): Long

The total number of items seen by this histogram.
The total number of items seen by this histogram.

Definition Classes
FastMapHistogram → Histogram
def maxBucketCount(): Int

The maximum number of buckets this histogram can hold.
The maximum number of buckets this histogram can hold.

Definition Classes
FastMapHistogram → Histogram
def maxValue(): Option[Int]

Returns the largest value seen by the histogram, if it has seen any values.
Returns the largest value seen by the histogram, if it has seen any values.

Definition Classes
FastMapHistogram → Histogram
def mean(): Option[Double]

Compute the mean of the distribution represented by the histogram.
Compute the mean of the distribution represented by the histogram.

Definition Classes
IntHistogram → Histogram
def median(): Option[Int]

Compute the median of the distribution represented by the histogram.
Compute the median of the distribution represented by the histogram.

Definition Classes
IntHistogram → Histogram
def merge(histogram: Histogram[Int]): Histogram[Int]

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
FastMapHistogram → Histogram
def minMaxValues(): Option[(Int, Int)]

Return the smallest and largest values seen by the histogram, if it has seen any values.
Return the smallest and largest values seen by the histogram, if it has seen any values.

Definition Classes
FastMapHistogram → Histogram
def minValue(): Option[Int]

Returns the smallest value seen by the histogram, if it has seen any values.
Returns the smallest value seen by the histogram, if it has seen any values.

Definition Classes
FastMapHistogram → Histogram
def mode(): Option[Int]

Compute the mode of the distribution represented by the histogram.
Compute the mode of the distribution represented by the histogram.

Definition Classes
IntHistogram → Histogram
def mutable(): FastMapHistogram

Return a mutable copy of the present FastMapHistogram.
Return a mutable copy of the present FastMapHistogram.

Definition Classes
FastMapHistogram → Histogram
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def quantileBreaks(num: Int): Array[Int]

Compute the quantile breaks of the histogram, where the latter are evenly spaced in 'num' increments starting at zero percent.
Compute the quantile breaks of the histogram, where the latter are evenly spaced in 'num' increments starting at zero percent.

Definition Classes
MutableIntHistogram → MutableHistogram → Histogram
def rawValues(): Array[Int]

Return an integer array containing the values seen by this histogram.
Return an integer array containing the values seen by this histogram.

Definition Classes
FastMapHistogram → Histogram
def setItem(item: Int, count: Long): Unit

Adjust the histogram so that that it is as if the given value 'item' has been seen 'count' times.
Adjust the histogram so that that it is as if the given value 'item' has been seen 'count' times.

Definition Classes
FastMapHistogram → MutableHistogram
def statistics(): Option[Statistics[Int]]

Return a statistics object for the distribution represented by the histogram.
Return a statistics object for the distribution represented by the histogram. Contains among other things: mean, mode, median, and so-forth.

Definition Classes
IntHistogram → Histogram
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
def totalCount(): Long

Return the total number of occurrences for all items.
Return the total number of occurrences for all items.

Definition Classes
FastMapHistogram → Histogram
def uncountItem(item: Int): Unit

Forget any encounters with the value 'item'.
Forget any encounters with the value 'item'.

Definition Classes
FastMapHistogram → MutableHistogram
def update(other: Histogram[Int]): Unit

Update this histogram with the entries from the other one.
Update this histogram with the entries from the other one.

Definition Classes
MutableIntHistogram → MutableHistogram
def values(): Array[Int]

Return a sorted integer array of values seen by this histogram.
Return a sorted integer array of values seen by this histogram.

Definition Classes
FastMapHistogram → Histogram
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

Related Docs: object FastMapHistogram | package histogram

class FastMapHistogram extends MutableIntHistogram

Instance Constructors

new FastMapHistogram(_size: Int, _buckets: Array[Int], _counts: Array[Long], _used: Int, _total: Long)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def binCounts(): Seq[(Int, Long)]

def bucketCount(): Int

def cdf(): Array[(Double, Double)]

def clone(): AnyRef

def countItem(item: Int, count: Long): Unit

def countItem(item: Int): Unit

def countItemInt(item: Int, count: Long): Unit

def countItemInt(item: Int): Unit

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

def foreach(f: (Int, Long) ⇒ Unit): Unit

def foreachValue(f: (Int) ⇒ Unit): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

def itemCount(item: Int): Long

def maxBucketCount(): Int

def maxValue(): Option[Int]

def mean(): Option[Double]

def median(): Option[Int]

def merge(histogram: Histogram[Int]): Histogram[Int]

def minMaxValues(): Option[(Int, Int)]

def minValue(): Option[Int]

def mode(): Option[Int]

def mutable(): FastMapHistogram

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def quantileBreaks(num: Int): Array[Int]

def rawValues(): Array[Int]

def setItem(item: Int, count: Long): Unit

def statistics(): Option[Statistics[Int]]

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

def toString(): String

def totalCount(): Long

def uncountItem(item: Int): Unit

def update(other: Histogram[Int]): Unit

def values(): Array[Int]

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from MutableIntHistogram

Inherited from IntHistogram

Inherited from MutableHistogram[Int]

Inherited from Histogram[Int]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped