keel.Algorithms.Rule_Learning.AQ

Class Dataset

java.lang.Object

keel.Algorithms.Rule_Learning.AQ.Dataset

public class Dataset
extends java.lang.Object

Title: Data-set

Description: It contains the methods for reading the training and test files

Since:

JDK1.4

Version:

1.0

Author:

Written by Alberto Fernández (University of Granada) 11/25/2004

Constructor Summary

Constructors

Constructor and Description
Dataset() Builder.

Method Summary

Modifier and Type	Method and Description
void	calculaMasComunes() It computes the most common values for each attribute
java.lang.String	copiaCabeceraTest() It returns a string with the file header
java.lang.String[]	dameClases() It return the class values
java.lang.String[]	dameNombres() It returns the name of the variables of the problem
int[]	getC() It returns the values for the output (class)
double[]	getemaximo() It returns an array with the maximum values of the input attributes
double[]	geteminimo() It returns an array with the minimum values of the input attributes
int	getnClasses() It returns the total number of classes
int	getndatos() It returns the number of examples
int	getnentradas() It returns the number of input variables
int	getnvariables() It returns the number of variables
double[][]	getX() It returns the values of the input attributes
boolean	hayAtributosContinuos() It checks if in the data-set there is any continous input
boolean	isMissing(int i, int j) Comprueba si un atributo está "perdido" o no
int	masComun(int i) It return the most common value for the i-th atribute
void	normaliza() It converts all values of the data-set to the interval [0,1]
void	readSet(java.lang.String nfejemplos, boolean train) It reads the examples file (training or test)
int[]	tiposVar() It returns the types of each input (NOMINAL[0] or NUMERICAL[1])

Methods inherited from class java.lang.Object

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

Constructor Detail

Dataset

public Dataset()

Builder. It creates a new instance set

Method Detail

getX

public double[][] getX()

It returns the values of the input attributes

Returns:

double[][] An array with the input attributes

getC

public int[] getC()

It returns the values for the output (class)

Returns:

int[] An array with the ouput values

getemaximo

public double[] getemaximo()

It returns an array with the maximum values of the input attributes

Returns:

double[] an array with the maximum values of the input attributes

geteminimo

public double[] geteminimo()

It returns an array with the minimum values of the input attributes

Returns:

double[] an array with the minimum values of the input attributes

getndatos

public int getndatos()

It returns the number of examples

Returns:

int the number of examples

getnvariables

public int getnvariables()

It returns the number of variables

Returns:

int the number of variables (including input and output)

getnentradas

public int getnentradas()

It returns the number of input variables

Returns:

int the number of input variables

getnClasses

public int getnClasses()

It returns the total number of classes

Returns:

int the total number of classes

isMissing

public boolean isMissing(int i,
                         int j)

Comprueba si un atributo está "perdido" o no

Parameters:

i - int Número de ejemplo

j - int Número de atributo

Returns:

boolean True si falta, False en otro caso

readSet

public void readSet(java.lang.String nfejemplos,
                    boolean train)
             throws java.io.IOException

It reads the examples file (training or test)

Parameters:

nfejemplos - String Name of the exampes file

train - boolean True if it refers to the training set. False if it is test

Throws:

java.io.IOException - A possible I/O exception

copiaCabeceraTest

public java.lang.String copiaCabeceraTest()

It returns a string with the file header

Returns:

String a string with the file header

normaliza

public void normaliza()

It converts all values of the data-set to the interval [0,1]

tiposVar

public int[] tiposVar()

It returns the types of each input (NOMINAL[0] or NUMERICAL[1])

Returns:

int[] An array that contains 0 or 1 wether the attributes are nominal or numerical

calculaMasComunes

public void calculaMasComunes()

It computes the most common values for each attribute

masComun

public int masComun(int i)

It return the most common value for the i-th atribute

Parameters:

i - int Attribute id

Returns:

int most common value for the i-th atribute

hayAtributosContinuos

public boolean hayAtributosContinuos()

It checks if in the data-set there is any continous input

Returns:

boolean True if there exists any continous input. False in other case

dameNombres

public java.lang.String[] dameNombres()

It returns the name of the variables of the problem

Returns:

String[] An Array the name of the variables of the problem

dameClases

public java.lang.String[] dameClases()

It return the class values

Returns:

String[] An array with the nominal values for the class "id"