keel.Algorithms.Genetic_Rule_Learning.GIL

Class Rule

java.lang.Object

keel.Algorithms.Genetic_Rule_Learning.GIL.Rule

public class Rule
extends java.lang.Object

Field Summary

Fields

Modifier and Type	Field and Description
double	completeness
double	consistency

Constructor Summary

Constructors

Constructor and Description
Rule()
Rule(myDataset train) Creates a random rule
Rule(myDataset train, int ej) Creates a rule that matches with a certain example
Rule(Rule a) Creates a copy of a rule

Method Summary

Modifier and Type	Method and Description
void	conditionDrop()
void	conditionIntroduce(myDataset train)
void	fromBitString(boolean[] cadena, myDataset train)
Condition	getiCondition(int i)
Condition[]	getRule()
static boolean	match(boolean[] rule, boolean[] example)
Rule[]	ruleDirectedSplit(myDataset train, int classAct)
Rule[]	ruleSplit(double p7B, double p7C, myDataset train)
void	setiCondition(int i, Condition c)
boolean[]	toBitString()
static boolean[]	toBitString(myDataset train, int ej) It return a bit string correspoding to a certain example
java.lang.String	toString(myDataset train)
Rule[]	turningConjunctionIntoDisjunction(myDataset train)

Methods inherited from class java.lang.Object

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

Field Detail

completeness

public double completeness

consistency

public double consistency

Constructor Detail

Rule

public Rule()

Rule

public Rule(myDataset train)

Creates a random rule

Rule

public Rule(myDataset train,
            int ej)

Creates a rule that matches with a certain example

Rule

public Rule(Rule a)

Creates a copy of a rule

Method Detail

getRule

public Condition[] getRule()

getiCondition

public Condition getiCondition(int i)

setiCondition

public void setiCondition(int i,
                          Condition c)

ruleSplit

public Rule[] ruleSplit(double p7B,
                        double p7C,
                        myDataset train)

conditionDrop

public void conditionDrop()

turningConjunctionIntoDisjunction

public Rule[] turningConjunctionIntoDisjunction(myDataset train)

conditionIntroduce

public void conditionIntroduce(myDataset train)

ruleDirectedSplit

public Rule[] ruleDirectedSplit(myDataset train,
                                int classAct)

toBitString

public boolean[] toBitString()

fromBitString

public void fromBitString(boolean[] cadena,
                          myDataset train)

match

public static boolean match(boolean[] rule,
                            boolean[] example)

toBitString

public static boolean[] toBitString(myDataset train,
                                    int ej)

It return a bit string correspoding to a certain example

Parameters:

train - myDataset input dataset

ej - identification of the example within the train set

toString

public java.lang.String toString(myDataset train)