keel.Algorithms.Genetic_Rule_Learning.ILGA

Class Rule

java.lang.Object

keel.Algorithms.Genetic_Rule_Learning.ILGA.Rule

public class Rule
extends java.lang.Object

Represents one rule as specified by the OIGA Algorithm

Constructor Summary

Constructors

Constructor and Description
Rule() Default constructor.
Rule(int _nAtt) Constructor with the number of attributes specified
Rule(Rule regla) Deep-copy constructor

Method Summary

Modifier and Type	Method and Description
void	append(Rule s) Adds all the antecedents attributes of the rule s to this rule (to perform the IGA)
int	evaluate(double[] inputs) Evaluates the inputs and output the class if covered, -1 if not
boolean	getActivation(int att) Obtains the activation state of the attribute
int	getClas() Returns the class associated to this rule
double[]	getLimits(int att) Returns the bounds of the attribute in the rule
void	setActivation(int att, boolean act) Sets the activation of the attribute
void	setClass(int _c) Sets the consequent of the rule
void	setLength(int numAtt) Allocates new memory for the number of attributes specified (delete previous memory).
void	setLimits(int att, double min, double max) Sets the new limits of the attribute in the rule

Methods inherited from class java.lang.Object

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

Constructor Detail

Rule

public Rule()

Default constructor. Does not allocate any memory!

Rule

public Rule(int _nAtt)

Constructor with the number of attributes specified

Parameters:

_nAtt - number of attributes included in this rule

Rule

public Rule(Rule regla)

Deep-copy constructor

Parameters:

regla - original rule

Method Detail

getActivation

public boolean getActivation(int att)

Obtains the activation state of the attribute

Parameters:

att - selected attribute from the rule

Returns:

True if it is active in the rule, False otherwise

getLimits

public double[] getLimits(int att)

Returns the bounds of the attribute in the rule

Parameters:

att - selected attribute from the rule

Returns:

both low and high limits of the attribute in the rule

getClas

public int getClas()

Returns the class associated to this rule

Returns:

the consequent class of the rule

setActivation

public void setActivation(int att,
                          boolean act)

Sets the activation of the attribute

Parameters:

att - attribute selected from the rule

act - if this attribute will be used or not

setLimits

public void setLimits(int att,
                      double min,
                      double max)

Sets the new limits of the attribute in the rule

Parameters:

att - attribute selected in the rule

min - new min limit for the attribute

max - new max limit for the attribute

setClass

public void setClass(int _c)

Sets the consequent of the rule

Parameters:

_c - new class consequent of the rule

setLength

public void setLength(int numAtt)

Allocates new memory for the number of attributes specified (delete previous memory). The rules will be reset after this!

Parameters:

numAtt - new number of attributes of the rule

evaluate

public int evaluate(double[] inputs)

Evaluates the inputs and output the class if covered, -1 if not

Parameters:

inputs - input data of the data set to be classified

Returns:

the class obtained if input data is covered by the rule, -1 in other case

append

public void append(Rule s)

Adds all the antecedents attributes of the rule s to this rule (to perform the IGA)

Parameters:

s - all the attributes of this rule will be appended to the present one