keel.Algorithms.Genetic_Rule_Learning.MPLCS

Class Statistics

java.lang.Object

keel.Algorithms.Genetic_Rule_Learning.MPLCS.Statistics

public class Statistics
extends java.lang.Object

Computes and stores several statistics about the learning process

Since:

JDK1.2

Version:

1.1

Author:

Written by Jaume Bacardit (La Salle, Ramón Llull University - Barcelona) 28/03/2004, Modified by Xavi Solé (La Salle, Ramón Llull University - Barcelona) 23/12/2008

Field Summary

Fields

Modifier and Type	Field and Description
static double[]	averageAccuracy
static double[]	averageFitness
static double[]	averageNumRules
static double[]	averageNumRulesUtils
static double[]	bestAccuracy
static double[]	bestAliveRules
static double	bestFitness
static double[]	bestRules
static int	countStatistics
static int	iterationsSinceBest
static double	last10IterationsAccuracyAverage

Constructor Summary

Constructors

Constructor and Description
Statistics()

Method Summary

Modifier and Type	Method and Description
static void	bestOfIteration(double itBestFit)
static void	computeStatistics(Classifier[] _population)
static int	getIterationsSinceBest()
static void	initStatistics()
static void	resetBestStats()
static void	statisticsToFile()

Methods inherited from class java.lang.Object

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

Field Detail

averageFitness

public static double[] averageFitness

averageAccuracy

public static double[] averageAccuracy

bestAccuracy

public static double[] bestAccuracy

bestRules

public static double[] bestRules

bestAliveRules

public static double[] bestAliveRules

averageNumRules

public static double[] averageNumRules

averageNumRulesUtils

public static double[] averageNumRulesUtils

iterationsSinceBest

public static int iterationsSinceBest

bestFitness

public static double bestFitness

last10IterationsAccuracyAverage

public static double last10IterationsAccuracyAverage

countStatistics

public static int countStatistics

Constructor Detail

Statistics

public Statistics()

Method Detail

resetBestStats

public static void resetBestStats()

getIterationsSinceBest

public static int getIterationsSinceBest()

bestOfIteration

public static void bestOfIteration(double itBestFit)

initStatistics

public static void initStatistics()

statisticsToFile

public static void statisticsToFile()

computeStatistics

public static void computeStatistics(Classifier[] _population)