com.conversantmedia.util.estimation

Class Percentile

java.lang.Object

com.conversantmedia.util.estimation.Percentile

public class Percentile
extends Object

Implementation of "Simulatenous Estimation of Several Persentiles," by Kimmo E. E. Raatikainen This is very useful for profiling the performance of timing characteristics Created by jcairns on 5/28/14.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	Percentile.InsufficientSamplesException Indicates too few measurements have been added to compute the requested estimation

Constructor Summary

Constructors

Constructor and Description
Percentile()
Percentile(float[] quantiles)

Method Summary

Methods

Modifier and Type	Method and Description
void	add(float x) Add a measurement to estimate
void	clear() clear existing samples
float[]	getEstimates() get the estimates based on the last sample
float	getMax()
float	getMin()
int	getNSamples()
float[]	getQuantiles()
boolean	isReady()
static void	print(PrintStream out, String name, Percentile p) print a nice histogram of percentiles

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Percentile

public Percentile()

Percentile

public Percentile(float[] quantiles)

Method Detail

clear

public void clear()

clear existing samples

add

public void add(float x)

Add a measurement to estimate

Parameters:

x - - the value of the measurement

getQuantiles

public float[] getQuantiles()

Returns:

float[] - percentiles requested at initialization

isReady

public boolean isReady()

Returns:

boolean - true if sufficient samples have been seen to form an estimate

getNSamples

public int getNSamples()

Returns:

int - the number of samples in the estimate

getEstimates

public float[] getEstimates()
                     throws Percentile.InsufficientSamplesException

get the estimates based on the last sample

Returns:

float[]

Throws:

Percentile.InsufficientSamplesException - - if no estimate is currently available due to insufficient data

getMin

public float getMin()

Returns:

float - the minimum sample seen in the distribution

getMax

public float getMax()

Returns:

float - the maximum sample seen in the distribution

print

public static void print(PrintStream out,
         String name,
         Percentile p)

print a nice histogram of percentiles

Parameters:

out - - output stream

name - - data set name

p - - percentile