keel.Algorithms.Associative_Classification.ClassifierFuzzyFARCHD

Class Itemset

java.lang.Object

keel.Algorithms.Associative_Classification.ClassifierFuzzyFARCHD.Itemset

public class Itemset
extends java.lang.Object

Title: Itemset

Description: This class contains the representation of a itemset

Copyright: Copyright KEEL (c) 2007

Company: KEEL

Since:

JDK1.6

Version:

1.0

Author:

Jesus Alcalá (University of Granada) 09/02/2011

Constructor Summary

Constructors

Constructor and Description
Itemset() Default constructor.
Itemset(int clas) Builder

Method Summary

Modifier and Type	Method and Description
void	add(Item item) Function to add an item to our itemset
void	calculateSupports(DataBase dataBase, myDataset train) It computes the support, rule support, hits, misses and PER of our itemset for a given dataset
Itemset	clone() Clone
double	degree(DataBase dataBase, double[] ejemplo) Calculate the degree of the given example inside the given data-set.
Item	get(int pos) It returns the item located in the given position of the itemset
int	getClas() It returns the output class of the itemset
double	getSupport() It returns the support of the antecedent of the itemset
double	getSupportClass() It returns the support of the itemset for its related output class
boolean	isEqual(Itemset a) Function to check if an itemset is equal to another given
Item	remove(int pos) Function to remove the item located in the given position
void	setClas(int clas) Set the class with the value given as argument.
int	size() It returns the size of the itemset (the number of items it has)

Methods inherited from class java.lang.Object

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

Constructor Detail

Itemset

public Itemset()

Default constructor. None attribute will be initialized.

Itemset

public Itemset(int clas)

Builder

Parameters:

clas - Class

Method Detail

clone

public Itemset clone()

Clone

Overrides:

clone in class java.lang.Object

Returns:

Return a copy of the itemset

add

public void add(Item item)

Function to add an item to our itemset

Parameters:

item - Element to be added

get

public Item get(int pos)

It returns the item located in the given position of the itemset

Parameters:

pos - Position of the requested item into the itemset

Returns:

The requested item of the itemset

remove

public Item remove(int pos)

Function to remove the item located in the given position

Parameters:

pos - Position of the requested item into the itemset

Returns:

The removed item of the itemset

size

public int size()

It returns the size of the itemset (the number of items it has)

Returns:

Number of items the itemset stores

getSupport

public double getSupport()

It returns the support of the antecedent of the itemset

Returns:

Support of the antecedent of the itemset

getSupportClass

public double getSupportClass()

It returns the support of the itemset for its related output class

Returns:

Support of the itemset for its related output class

getClas

public int getClas()

It returns the output class of the itemset

Returns:

output class of the itemset

setClas

public void setClas(int clas)

Set the class with the value given as argument.

Parameters:

clas - class given.

isEqual

public boolean isEqual(Itemset a)

Function to check if an itemset is equal to another given

Parameters:

a - Itemset to compare with ours

Returns:

boolean true = they are equal, false = they aren't.

calculateSupports

public void calculateSupports(DataBase dataBase,
                              myDataset train)

It computes the support, rule support, hits, misses and PER of our itemset for a given dataset

Parameters:

dataBase - Given training dataset useful information to calculate supports.

train - Given training dataset to be able to calculate supports.

degree

public double degree(DataBase dataBase,
                     double[] ejemplo)

Calculate the degree of the given example inside the given data-set.

Parameters:

dataBase - Given training dataset useful information to calculate the degree.

ejemplo - Given example to calculate its degree.

Returns: