keel.Algorithms.Associative_Classification.ClassifierCBA2

Class RuleBase

java.lang.Object

keel.Algorithms.Associative_Classification.ClassifierCBA2.RuleBase

public class RuleBase
extends java.lang.Object

This class contains the representation of a Rule Set

Since:

JDK1.5

Version:

1.0

Author:

Written by Jesus Alcala (University of Granada) 09/02/2010

Constructor Summary

Constructors

Constructor and Description
RuleBase() Default Constructor
RuleBase(DataBase dataBase, myDataset train) Parameters Constructor

Method Summary

Modifier and Type	Method and Description
void	add(Itemset itemset, long time) It adds a rule to the rule base from an itemset and a time
void	add(Rule rule) It adds a rule to the rule base
void	CBACBM2() Classifier Builder (Method 2)
double	evaluate() Function to evaluate the whole rule base by using the training dataset
int	FRM(int[] example) It returns the class which better fits to the given example
Rule	get(int pos) Function to get a rule from the rule base
double	getAccuracy() It returns the accuracy of the rule base
RuleBase	getClassifier() Function to get stored classifier
java.lang.String	printString() It prints the whole rulebase
Rule	remove(int pos) It removes the rule stored in the given position
void	saveFile(java.lang.String filename) It stores the rule base in a given file
void	setDefaultClass(int defaultClass) It sets the default class for the rule base
int	size() It returns the number of rules in the rule base
void	sort() Function to sort the rule base

Methods inherited from class java.lang.Object

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

Constructor Detail

RuleBase

public RuleBase()

Default Constructor

RuleBase

public RuleBase(DataBase dataBase,
                myDataset train)

Parameters Constructor

Parameters:

dataBase - Set of training data which is necessary to generate a rule

train - Training data set with information to construct the rule base (mainly, the training examples)

Method Detail

add

public void add(Rule rule)

It adds a rule to the rule base

Parameters:

rule - Rule to be added

add

public void add(Itemset itemset,
                long time)

It adds a rule to the rule base from an itemset and a time

Parameters:

itemset - Itemset to be translated to an array to insert it in the rule base

time - Position in time when the rule has been added

get

public Rule get(int pos)

Function to get a rule from the rule base

Parameters:

pos - Position in the rule base where the desired rule is stored

Returns:

Rule The desired rule

setDefaultClass

public void setDefaultClass(int defaultClass)

It sets the default class for the rule base

Parameters:

defaultClass - Default class to set

size

public int size()

It returns the number of rules in the rule base

Returns:

int Rule base's size

sort

public void sort()

Function to sort the rule base

remove

public Rule remove(int pos)

It removes the rule stored in the given position

Parameters:

pos - Position where the rule we want to remove is

Returns:

Rule Removed rule

evaluate

public double evaluate()

Function to evaluate the whole rule base by using the training dataset

Returns:

double Fitness of the rule base

FRM

public int FRM(int[] example)

It returns the class which better fits to the given example

Parameters:

example - Example to be classified

Returns:

int Output class

getAccuracy

public double getAccuracy()

It returns the accuracy of the rule base

Returns:

double Accuracy of the rule base

CBACBM2

public void CBACBM2()

Classifier Builder (Method 2)

getClassifier

public RuleBase getClassifier()

Function to get stored classifier

Returns:

RuleBase The whole classifier

printString

public java.lang.String printString()

It prints the whole rulebase

Returns:

String The whole rulebase

saveFile

public void saveFile(java.lang.String filename)

It stores the rule base in a given file

Parameters:

filename - Name for the rulebase file