edu.stanford.nlp.classify
Class SimpleGoodTuring

java.lang.Object
  |
  +--edu.stanford.nlp.classify.SimpleGoodTuring

public class SimpleGoodTuring

extends Object

Field Summary

int	bigN
double	bigNprime
double	intercept
double[]	log_r
double[]	log_Z
int[]	n
double[]	p
double	PZero
int[]	r
int	rows
double[]	rStar
double	slope
double[]	Z

Constructor Summary

SimpleGoodTuring(int[] rt, int[] nt, int rowst)
Constructor: rt is an array of frequencies, nt is an array of frequencies of frequencies, and rowst is the size of these arrays.

Method Summary

double[]	analyseInput() Does SGT smoothing and returns an array with the smoothed counts.
void	findBestFit()

Methods inherited from class java.lang.Object

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

Field Detail

r

public int[] r

n

public int[] n

Z

public double[] Z

log_r

public double[] log_r

log_Z

public double[] log_Z

rStar

public double[] rStar

p

public double[] p

rows

public int rows

bigN

public int bigN

PZero

public double PZero

bigNprime

public double bigNprime

slope

public double slope

intercept

public double intercept

Constructor Detail

SimpleGoodTuring

public SimpleGoodTuring(int[] rt,
                        int[] nt,
                        int rowst)

Constructor: rt is an array of frequencies, nt is an array of frequencies of frequencies, and rowst is the size of these arrays.

Method Detail

analyseInput

public double[] analyseInput()

Does SGT smoothing and returns an array with the smoothed counts.

findBestFit

public void findBestFit()