Dataset

java.lang.Object
- keel.Algorithms.Genetic_Rule_Learning.Corcoran.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.

Constructors
Constructor and Description
`Dataset()` Builder.

Method Summary

All Methods Instance Methods Concrete Methods
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
`boolean[]`	`getNominales()` Returns an array of booleans that indicates for each variable wether it is nominal or not
`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)` This function checks if the attribute value is missing
`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 NUMERIC[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)
```
    This function checks if the attribute value is missing
    
    Parameters:
    
    i - int Example id
    
    j - int Variable id
    
    Returns:
    
    boolean True is the value is missing, else it returns false
  - 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 NUMERIC[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"
  - getNominales
```
public boolean[] getNominales()
```
    Returns an array of booleans that indicates for each variable wether it is nominal or not
    
    Returns:
    
    boolean[] an array of booleans that indicates for each variable wether it is nominal or not

Class Dataset

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

Dataset

Method Detail

getX

getC

getemaximo

geteminimo

getndatos

getnvariables

getnentradas

getnClasses

isMissing

readSet

copiaCabeceraTest

normaliza

tiposVar

calculaMasComunes

masComun

hayAtributosContinuos

dameNombres

dameClases

getNominales