Config

java.lang.Object
- keel.Algorithms.Genetic_Rule_Learning.UCS.Config

```
public class Config
extends java.lang.Object
```
This class contains all the configuration parameters for the XCS.

Since:

JDK1.2

Version:

1.1

Author:

Written by Albert Orriols (La Salle University Ramón Lull, Barcelona) 28/03/2004, Modified by Xavi Solé (La Salle University Ramón Lull, Barcelona) 03/12/2008

Field Summary

Fields
Modifier and Type	Field and Description
`static double`	`acc_0` Parameter of the accuracy function (Is the accuracy threshold beyond which the accuracy of the classifier is set to 1.
`static double`	`alpha` Parameter of accuracy function (the fall of rate in the fitness evaluation).
`static double[][]`	`attBounds`
`static java.util.Vector`	`attNames`
`static double`	`beta` Learning rate for prediction, prediction error, fitness, and action set estimation updates
`static char[]`	`charVector` It contains all the characters that can take a problem with character representation.
`static java.util.Vector`	`classConv`
`static java.lang.String`	`className`
`static int`	`clLength` Represents the lenght of the classifier.
`static int`	`debugLevel` It indicates the level of debug (the quantity of message that will appear in the estandard output
`static boolean`	`defaultRule`
`static double`	`delta` Value of the fraction used in the second deletion method.
`static boolean`	`doGASubsumption` It indicates if the GA subsumption is required.
`static char`	`dontCareSymbol` Represents the don't care symbol for problem that use a character representation or a mixed representation.
`static boolean`	`doStatistics` It indicates if the user wants to get some statistics in a file.
`static boolean`	`doTest` This parameter indicates if test has to be made between the train execution.
`static boolean`	`doTrain` It indicates if a train has to be made
`static java.util.Vector[]`	`enumConv`
`static int`	`exploresBetweenExploits` Indicates the number of explore experiments that have to be made before doing an exploit experiment
`static java.lang.String`	`fDrawFileName`
`static java.lang.String`	`fIncFileName`
`static double`	`fitReduction` The factor by which the fitness is reduced when a new classifier is generated in the AG.
`static java.lang.String`	`fOTestFileName`
`static java.lang.String`	`fOTrainFileName`
`static java.lang.String`	`fPopFileName`
`static java.lang.String`	`fPopNormFileName`
`static java.lang.String`	`fTestFileName`
`static java.lang.String`	`fTimeFileName`
`static java.lang.String`	`fTrainFileName`
`static java.lang.String`	`inputsLine`
`static double`	`m_0` It indicates the range of the uniform distribution to use in the mutation of a real allele.
`static int`	`majorityClass`
`static double[]`	`maxBDAttributeValue`
`static double[]`	`minBDAttributeValue` The following parameters are to save the BD examples maximum and minimum values.
`static double`	`nu` Exponent in the power function for the fitness evaluation
`static int`	`numberOfActions` Represents the number of actions that a classifier can take.
`static int`	`numberOfCharacters` Represents the number of different characters that can take a character representation.
`static int`	`numberOfExplores` Represents the number of experiments that have to be made.
`static int`	`numberOfTestExamples` Indicates the number of iterations that has to be made in a test execution.
`static java.lang.String`	`outputsLine`
`static double`	`pDontCare` Is the probability of using # in one attribute when covering.
`static double`	`pM` Probability of mutate an allele in the offspring.
`static int`	`popSize` Represents the maximum number of microclassifiers in the population.
`static java.lang.String`	`populationFile` If not null, it represents the name of the file where the population has been writen
`static double`	`pX` Probability of applying crossover in the GA.
`static double`	`r_0` Represents the interval of random numbers that will be generated to be added in the real mutation.
`static java.lang.String`	`relationName` Variables to store extra information about attributes
`static double`	`seed` It's the seed of the run
`static boolean`	`sequentialTest` This parameter indicates if the test execution must be a sequential execution (if the enviornment is a file environment), or it mustn't.
`static java.lang.String`	`statisticFileOutName1` It is the name of the file where the statistics will be written in ("outFile1.txt").
`static java.lang.String`	`statisticFileOutName2` It is the name of the file where the statistics will be written in ("outFile2.txt").
`static java.lang.String`	`statisticFileOutName3` It is the name of the file where the statistics will be written in ("outFile3.txt").
`static int`	`statisticWindowSize` It the size of the window for the incremental statistics.
`static boolean`	`ternaryRep` Represents the type of the representation.
`static java.lang.String`	`testFile` It the BD of test examples
`static int`	`testWindow` Indicates the number of train executions that has to be made to do a test execution.
`static double`	`theta_del` Is the deletion threshold.
`static double`	`theta_GA` It represents the time from last GA aplication for aplicate again the GA in the action set.
`static double`	`theta_sub` Is the subsumption threshold.
`static double`	`tournamentSize` It represents the percentage of population that has to be selected to make tournament.
`static java.lang.String`	`trainFile` It the BD of train examples
`static java.lang.String[]`	`typeOfAttributes` Represents the type of each attribute of a classifier.
`static java.lang.String`	`typeOfCrossover` Represents the type of crossover.
`static java.lang.String`	`typeOfMutation` Represents the type of mutation.
`static java.lang.String`	`typeOfProblem` It represents the type of problem to be executed.
`static java.lang.String`	`typeOfSelection` Represents the type of selection.
`static java.lang.String`	`UCSRun` It represents the number of explores iterations that have to be made to do a exploit
`static double`	`unknownValue` It represents the unkown value in a training instance

Constructor Summary

Constructors
Constructor and Description

Config()
It's de defalut constructor of the class.

Constructors
Constructor and Description
`Config()` It's de defalut constructor of the class.

Method Summary

All Methods Static Methods Concrete Methods
Modifier and Type	Method and Description
`static void`	`doParse(java.lang.String configFile)`
`static void`	`printContents()` It does print all the parameters value to check their correct initialization
`static double`	`rand()` Returns a number between [0, 1), so, 0 inclusive and 1 exclusive.
`static void`	`setSeed(long seed)`
`static void`	`write(java.lang.String s)`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - unknownValue
```
public static final double unknownValue
```
    It represents the unkown value in a training instance
    
    See Also:
    
    Constant Field Values
  - typeOfProblem
```
public static java.lang.String typeOfProblem
```
    It represents the type of problem to be executed. It can be: FP, MP, PAR, POS, DEC
  - doTrain
```
public static boolean doTrain
```
    It indicates if a train has to be made
  - numberOfExplores
```
public static int numberOfExplores
```
    Represents the number of experiments that have to be made.
  - exploresBetweenExploits
```
public static int exploresBetweenExploits
```
    Indicates the number of explore experiments that have to be made before doing an exploit experiment
  - seed
```
public static double seed
```
    It's the seed of the run
  - UCSRun
```
public static java.lang.String UCSRun
```
    It represents the number of explores iterations that have to be made to do a exploit
  - trainFile
```
public static java.lang.String trainFile
```
    It the BD of train examples
  - testFile
```
public static java.lang.String testFile
```
    It the BD of test examples
  - populationFile
```
public static java.lang.String populationFile
```
    If not null, it represents the name of the file where the population has been writen
  - popSize
```
public static int popSize
```
    Represents the maximum number of microclassifiers in the population.
  - alpha
```
public static double alpha
```
    Parameter of accuracy function (the fall of rate in the fitness evaluation).
  - beta
```
public static double beta
```
    Learning rate for prediction, prediction error, fitness, and action set estimation updates
  - delta
```
public static double delta
```
    Value of the fraction used in the second deletion method.
  - nu
```
public static double nu
```
    Exponent in the power function for the fitness evaluation
  - theta_del
```
public static double theta_del
```
    Is the deletion threshold. If the experience of a classifier is greather than this parameter, its fitness may be considered in its probability of deletion.
  - theta_sub
```
public static double theta_sub
```
    Is the subsumption threshold. If the experience of a classifier is less than that parameter, the classifier is not expert enough to be a subusmer.
  - acc_0
```
public static double acc_0
```
    Parameter of the accuracy function (Is the accuracy threshold beyond which the accuracy of the classifier is set to 1.
  - fitReduction
```
public static double fitReduction
```
    The factor by which the fitness is reduced when a new classifier is generated in the AG.
  - pX
```
public static double pX
```
    Probability of applying crossover in the GA.
  - pM
```
public static double pM
```
    Probability of mutate an allele in the offspring.
  - theta_GA
```
public static double theta_GA
```
    It represents the time from last GA aplication for aplicate again the GA in the action set.
  - doGASubsumption
```
public static boolean doGASubsumption
```
    It indicates if the GA subsumption is required.
  - tournamentSize
```
public static double tournamentSize
```
    It represents the percentage of population that has to be selected to make tournament. Its value is in the (0..1] range. selection.
  - typeOfMutation
```
public static java.lang.String typeOfMutation
```
    Represents the type of mutation. It can take two values: 1 --> niched mutation, or 2 --> free mutation.
  - typeOfSelection
```
public static java.lang.String typeOfSelection
```
    Represents the type of selection. It can take two values: 1 --> roulette wheel selection, or 2 --> tournament selection.
  - typeOfCrossover
```
public static java.lang.String typeOfCrossover
```
    Represents the type of crossover. It can take two values: 1 --> two point crossover, or 2 --> uniform crossover.
  - m_0
```
public static double m_0
```
    It indicates the range of the uniform distribution to use in the mutation of a real allele.
  - pDontCare
```
public static double pDontCare
```
    Is the probability of using # in one attribute when covering.
  - dontCareSymbol
```
public static char dontCareSymbol
```
    Represents the don't care symbol for problem that use a character representation or a mixed representation.
  - ternaryRep
```
public static boolean ternaryRep
```
    Represents the type of the representation. If it's true the problems uses a ternary representation, and if it's false the problem uses a mixed or a real representation.
  - typeOfAttributes
```
public static java.lang.String[] typeOfAttributes
```
    Represents the type of each attribute of a classifier. It is used by the mixed representation, because it has to know the type of each attribute. It can take the "real" or "character" values.
  - clLength
```
public static int clLength
```
    Represents the lenght of the classifier.
  - numberOfCharacters
```
public static int numberOfCharacters
```
    Represents the number of different characters that can take a character representation.
  - charVector
```
public static char[] charVector
```
    It contains all the characters that can take a problem with character representation.
  - numberOfActions
```
public static int numberOfActions
```
    Represents the number of actions that a classifier can take.
  - r_0
```
public static double r_0
```
    Represents the interval of random numbers that will be generated to be added in the real mutation.
  - doStatistics
```
public static boolean doStatistics
```
    It indicates if the user wants to get some statistics in a file.
  - statisticWindowSize
```
public static int statisticWindowSize
```
    It the size of the window for the incremental statistics. It means that, every statisticWindowSize, a statistic of the population will be set down in the incremental statistic file.
  - statisticFileOutName1
```
public static java.lang.String statisticFileOutName1
```
    It is the name of the file where the statistics will be written in ("outFile1.txt").
  - statisticFileOutName2
```
public static java.lang.String statisticFileOutName2
```
    It is the name of the file where the statistics will be written in ("outFile2.txt").
  - statisticFileOutName3
```
public static java.lang.String statisticFileOutName3
```
    It is the name of the file where the statistics will be written in ("outFile3.txt").
  - doTest
```
public static boolean doTest
```
    This parameter indicates if test has to be made between the train execution.
  - testWindow
```
public static int testWindow
```
    Indicates the number of train executions that has to be made to do a test execution.
  - sequentialTest
```
public static boolean sequentialTest
```
    This parameter indicates if the test execution must be a sequential execution (if the enviornment is a file environment), or it mustn't. A sequential execution is that all the examples are got sequentially begining at the first example.
  - numberOfTestExamples
```
public static int numberOfTestExamples
```
    Indicates the number of iterations that has to be made in a test execution.
  - debugLevel
```
public static int debugLevel
```
    It indicates the level of debug (the quantity of message that will appear in the estandard output
  - attBounds
```
public static double[][] attBounds
```
  - enumConv
```
public static java.util.Vector[] enumConv
```
  - classConv
```
public static java.util.Vector classConv
```
  - relationName
```
public static java.lang.String relationName
```
    Variables to store extra information about attributes
  - attNames
```
public static java.util.Vector attNames
```
  - className
```
public static java.lang.String className
```
  - inputsLine
```
public static java.lang.String inputsLine
```
  - outputsLine
```
public static java.lang.String outputsLine
```
  - majorityClass
```
public static int majorityClass
```
  - defaultRule
```
public static boolean defaultRule
```
  - minBDAttributeValue
```
public static double[] minBDAttributeValue
```
    The following parameters are to save the BD examples maximum and minimum values. It has been introduced before the second phase. They store the maximum and the minimum values of the attributes.
  - maxBDAttributeValue
```
public static double[] maxBDAttributeValue
```
  - fOTrainFileName
```
public static java.lang.String fOTrainFileName
```
  - fOTestFileName
```
public static java.lang.String fOTestFileName
```
  - fPopFileName
```
public static java.lang.String fPopFileName
```
  - fPopNormFileName
```
public static java.lang.String fPopNormFileName
```
  - fTrainFileName
```
public static java.lang.String fTrainFileName
```
  - fTestFileName
```
public static java.lang.String fTestFileName
```
  - fIncFileName
```
public static java.lang.String fIncFileName
```
  - fDrawFileName
```
public static java.lang.String fDrawFileName
```
  - fTimeFileName
```
public static java.lang.String fTimeFileName
```
- Constructor Detail
  - Config
```
public Config()
```
    It's de defalut constructor of the class.
- Method Detail
  - setSeed
```
public static void setSeed(long seed)
```
  - rand
```
public static double rand()
```
    Returns a number between [0, 1), so, 0 inclusive and 1 exclusive.
    
    Returns:
    
    a double with the random double number.
  - printContents
```
public static void printContents()
```
    It does print all the parameters value to check their correct initialization
  - write
```
public static void write(java.lang.String s)
```
  - doParse
```
public static void doParse(java.lang.String configFile)
```

Class Config

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

unknownValue

typeOfProblem

doTrain

numberOfExplores

exploresBetweenExploits

seed

UCSRun

trainFile

testFile

populationFile

popSize

alpha

beta

delta

nu

theta_del

theta_sub

acc_0

fitReduction

pX

pM

theta_GA

doGASubsumption

tournamentSize

typeOfMutation

typeOfSelection

typeOfCrossover

m_0

pDontCare

dontCareSymbol

ternaryRep

typeOfAttributes

clLength

numberOfCharacters

charVector

numberOfActions

r_0

doStatistics

statisticWindowSize

statisticFileOutName1

statisticFileOutName2

statisticFileOutName3

doTest

testWindow

sequentialTest

numberOfTestExamples

debugLevel

attBounds

enumConv

classConv

relationName

attNames

className

inputsLine

outputsLine

majorityClass

defaultRule

minBDAttributeValue

maxBDAttributeValue

fOTrainFileName

fOTestFileName

fPopFileName

fPopNormFileName

fTrainFileName

fTestFileName

fIncFileName

fDrawFileName

fTimeFileName

Constructor Detail

Config

Method Detail

setSeed

rand

printContents