edu.iu.pcl.absurdist.absurdist
Class Absurdist.Results

java.lang.Object
  |
  +--edu.iu.pcl.absurdist.absurdist.Absurdist.Results

Enclosing class:

Absurdist

public static class Absurdist.Results

extends java.lang.Object

Used for reporting. An instance of this class can be used for an individual runs, or for accumulated data from multiple runs.

Field Summary

double	accuracy Mapping accuracy based on internal similarity.
double	accuracy2 Squares of the averaged values; maintained so that we can compute standard deviation
double	accuracyDev Standard deviations
double	iterCnt How many iterations have actually been performed by the end of the iterative process
double	iterCnt2 Squares of the averaged values; maintained so that we can compute standard deviation
double	iterCntDev Standard deviations
double	misCon Total number of mismapped concepts.
double	misCon2 Squares of the averaged values; maintained so that we can compute standard deviation
double	misConDev Standard deviations
double	misRel Sum of mismapped relations (i.e. link difference).
double	misRel2 Squares of the averaged values; maintained so that we can compute standard deviation
double	misRelAdjId Sum of mismapped relations adjusted by subtracting the sum of mismapped relations for the identity mapping
double	misRelAdjId2 Squares of the averaged values; maintained so that we can compute standard deviation
double	misRelAdjIdDev Standard deviations
double	misRelAdjOp Same thing, but adjusted by the misrel for the optimal mapping
double	misRelAdjOp2 Squares of the averaged values; maintained so that we can compute standard deviation
double	misRelAdjOpDev Standard deviations
double	misRelDev Standard deviations
int	perfectCnt How many runs resulted in an identity permutation
int	rpt Experiment repetition count, for statistics

Constructor Summary

Absurdist.Results()

Method Summary

void	add(Absurdist.Results r) Adds the results of one more experiment.
void	averages() Computes averages and standard deviations

Methods inherited from class java.lang.Object

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

Field Detail

misCon

public double misCon

Total number of mismapped concepts.

misRel

public double misRel

Sum of mismapped relations (i.e. link difference).

misRelAdjId

public double misRelAdjId

Sum of mismapped relations adjusted by subtracting the sum of mismapped relations for the identity mapping

misRelAdjOp

public double misRelAdjOp

Same thing, but adjusted by the misrel for the optimal mapping

accuracy

public double accuracy

Mapping accuracy based on internal similarity.

iterCnt

public double iterCnt

How many iterations have actually been performed by the end of the iterative process

rpt

public int rpt

Experiment repetition count, for statistics

perfectCnt

public int perfectCnt

How many runs resulted in an identity permutation

misCon2

public double misCon2

Squares of the averaged values; maintained so that we can compute standard deviation

misRel2

public double misRel2

Squares of the averaged values; maintained so that we can compute standard deviation

misRelAdjId2

public double misRelAdjId2

Squares of the averaged values; maintained so that we can compute standard deviation

misRelAdjOp2

public double misRelAdjOp2

Squares of the averaged values; maintained so that we can compute standard deviation

accuracy2

public double accuracy2

Squares of the averaged values; maintained so that we can compute standard deviation

iterCnt2

public double iterCnt2

Squares of the averaged values; maintained so that we can compute standard deviation

misConDev

public double misConDev

Standard deviations

misRelDev

public double misRelDev

Standard deviations

misRelAdjIdDev

public double misRelAdjIdDev

Standard deviations

misRelAdjOpDev

public double misRelAdjOpDev

Standard deviations

accuracyDev

public double accuracyDev

Standard deviations

iterCntDev

public double iterCntDev

Standard deviations

Constructor Detail

Absurdist.Results

public Absurdist.Results()

Method Detail

add

public void add(Absurdist.Results r)

Adds the results of one more experiment. Used for statistics

averages

public void averages()

Computes averages and standard deviations