ucs
Class UCSconfig

java.lang.Object
  ucs.UCSconfig

All Implemented Interfaces:

java.lang.Cloneable

public class UCSconfig

extends java.lang.Object

implements java.lang.Cloneable

Configuration object for UCS. You must make one of these before you can run UCS.

Author:

Gavin Brown

Field Summary

double	coveringProbability Probabililty of covering.
double	crossoverProb The probability of choosing crossover instead of mutation to perform on a rule condition.
FitnessFunction	fitfunc Object specifying the fitness function.
int	gaThreshold The GA threshold.
double	inexperiencePenalty The factor by which to discount when experience is too low.
int	inexperienceThreshold The experience threshold under which the accuracy is discounted.
double	mutationProb The probability of mutating a single point in a rule condition.
double	noise Probability of class noise being added to each example in the training data.
boolean	onlinelearning Online learning or offline learing.
int	POPMAXSIZE Maximum population size to allow.
SystemPredictor	systemPredictor Object specifying the system predictor.
java.lang.String	testingFile String specifying the file to source testing data from.
int	ThetaDel Deletion vote experience threshold.
double	ThetaDelFrac Deletion vote fraction.
int	ThetaSub Subsumption experience threshold.
double	ThetaSubAccuracyMinimum
java.lang.String	trainingFile String specifying the file to source training data from.
int	v Parameter controlling fitness evaluation for UCS, accv.

Constructor Summary

UCSconfig()

Method Summary

java.lang.Object	clone() Clones this UCSConfig object.
void	load(java.lang.String filename) Loads a UCSparameters configuration from the specified file.
void	print() Prints out configuration of the current UCSparameters instance.
void	setFitnessFunction(FitnessFunction ff) Sets the fitness function to the supplied object.
void	setProblem(java.lang.String train) Sets the training datafile name to the supplied argument.
void	setProblem(java.lang.String train, java.lang.String test) Sets the datafile names to the supplied arguments.
void	setSystemPredictor(SystemPredictor sp) Sets the system predictor to the supplied object.

Methods inherited from class java.lang.Object

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

Field Detail

coveringProbability

public double coveringProbability

Probabililty of covering. Default is coveringProbability = 0.33333333.

crossoverProb

public double crossoverProb

The probability of choosing crossover instead of mutation to perform on a rule condition. Default is crossoverProb = 0.8.

fitfunc

public FitnessFunction fitfunc

Object specifying the fitness function. By default this is a FitnessFunction object.

gaThreshold

public int gaThreshold

The GA threshold. Default is gaThreshold = 25.

inexperiencePenalty

public double inexperiencePenalty

The factor by which to discount when experience is too low. Default is inexperiencePenalty = 0.01.

inexperienceThreshold

public int inexperienceThreshold

The experience threshold under which the accuracy is discounted. Default is inexperienceThreshold = 10.

mutationProb

public double mutationProb

The probability of mutating a single point in a rule condition. Default is mutationProb = 0.05.

noise

public double noise

Probability of class noise being added to each example in the training data. (only applies when doing offline learning). Default is noise = 0.0.

onlinelearning

public boolean onlinelearning

Online learning or offline learing. If this flag is set true, testing will occur by periodically evaluating the system over the last 50 examples it has seen. Default is onlinelearning = TRUE.

POPMAXSIZE

public int POPMAXSIZE

Maximum population size to allow. This is in terms of microclassifiers as this implementation of UCS does not currently support macroclassifiers. Default is POPMAXSIZE = 400.

systemPredictor

public SystemPredictor systemPredictor

Object specifying the system predictor. By default this is a SystemPredictor object.

testingFile

public java.lang.String testingFile

String specifying the file to source testing data from.

ThetaDel

public int ThetaDel

Deletion vote experience threshold. Default is ThetaDel = 20.

ThetaDelFrac

public double ThetaDelFrac

Deletion vote fraction. Default is ThetaDelFrac = 0.10.

ThetaSub

public int ThetaSub

Subsumption experience threshold. Default is ThetaSub = 20.

ThetaSubAccuracyMinimum

public double ThetaSubAccuracyMinimum

trainingFile

public java.lang.String trainingFile

String specifying the file to source training data from.

v

public int v

Parameter controlling fitness evaluation for UCS, acc^v. Default is v = 20

Constructor Detail

UCSconfig

public UCSconfig()

Method Detail

clone

public java.lang.Object clone()

Clones this UCSConfig object. Can be useful to duplicate experiments, etc.

load

public void load(java.lang.String filename)

Loads a UCSparameters configuration from the specified file.

Parameters:

filename - The file from which to load the configuration.

print

public void print()

Prints out configuration of the current UCSparameters instance.

setFitnessFunction

public void setFitnessFunction(FitnessFunction ff)

Sets the fitness function to the supplied object.

Parameters:

ff - A fitness function object, either type FitnessFunction or an extension of it.

setProblem

public void setProblem(java.lang.String train)

Sets the training datafile name to the supplied argument. Note that since no testing datafile is specified, the system makes some assumptions for you. If onlinelearning=TRUE, then testing error will be reported over the last 50 examples seen. If onlinelearning=FALSE, then testing error will be obtained by a 50/50 random split of the training data.

Parameters:

train - The filename from which to load data.

setProblem

public void setProblem(java.lang.String train,
                       java.lang.String test)

Sets the datafile names to the supplied arguments.

Parameters:

train - The filename from which to load training data.

test - The filename from which to load testing data. If onlinelearning=TRUE, the testing datafile is ignored.

setSystemPredictor

public void setSystemPredictor(SystemPredictor sp)

Sets the system predictor to the supplied object.

Parameters:

sp - A system predictor object, either type SystemPredictor or an extension of it.