io.virtdata.stathelpers

Class DiscreteProbabilityBuffer

java.lang.Object

io.virtdata.stathelpers.DiscreteProbabilityBuffer

All Implemented Interfaces:

Iterable<DiscreteProbabilityBuffer.Entry>

public class DiscreteProbabilityBuffer
extends Object
implements Iterable<DiscreteProbabilityBuffer.Entry>

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	DiscreteProbabilityBuffer.Entry

Field Summary

Fields

Modifier and Type	Field and Description
static int	RECORD_LEN

Constructor Summary

Constructors

Constructor and Description
DiscreteProbabilityBuffer(int entries)

Method Summary

Modifier and Type	Method and Description
DiscreteProbabilityBuffer	add(int i, double probability)
double	getCumulativeProbability()
Iterator<DiscreteProbabilityBuffer.Entry>	iterator()
void	normalize()
void	normalize(double phi) Normalize the dataset, but only if the cumulative probability is not close to the unit probability of 1.0D, within some phi threshold.

Methods inherited from class java.lang.Object

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

Methods inherited from interface java.lang.Iterable

forEach, spliterator

Field Detail

RECORD_LEN

public static int RECORD_LEN

Constructor Detail

DiscreteProbabilityBuffer

public DiscreteProbabilityBuffer(int entries)

Method Detail

add

public DiscreteProbabilityBuffer add(int i,
                                     double probability)

normalize

public void normalize(double phi)

Normalize the dataset, but only if the cumulative probability is not close to the unit probability of 1.0D, within some phi threshold. In either case, mark the dataset as normalized.

Parameters:

phi - A double value, preferably very small, like 0.000000001D

normalize

public void normalize()

iterator

public Iterator<DiscreteProbabilityBuffer.Entry> iterator()

Specified by:

iterator in interface Iterable<DiscreteProbabilityBuffer.Entry>

getCumulativeProbability

public double getCumulativeProbability()