ConjuntoDatos

java.lang.Object
- keel.Algorithms.Genetic_Rule_Learning.PSO_ACO.ConjuntoDatos

```
public class ConjuntoDatos
extends java.lang.Object
```
Title: ConjuntoDatos (Dataset)

Description: Dataset class represents the dataset read from data files and is used by the PSO-ACO algorithm.

Version:

1.0

Author:

Vicente Rubén del Pino Ruiz

Constructor Summary

Constructors
Constructor and Description

ConjuntoDatos()
Default constructor.

ConjuntoDatos(java.util.Vector datos)
Parameter constructor.

Constructors
Constructor and Description
`ConjuntoDatos()` Default constructor.
`ConjuntoDatos(java.util.Vector datos)` Parameter constructor.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`boolean`	`cubreMinimo(Regla hormiga, int minimoCasosRegla)` Checks if the rule covers the minimum examples to be considered.
`void`	`eliminaMuestra(int indice)` Removes an example with the given position.
`boolean`	`eliminaMuestra(Muestra muestra)` Removes the given example from the dataset.
`void`	`eliminaMuestrasClase(Regla regla)` Removes from the set the covered cases which have the same class as the rule given.
`void`	`eliminaMuestrasCubiertas(Regla regla)` Removes from dataset the covered cases by the given rule.
`void`	`imprimir(java.lang.String nombre)` Prints the dataset on the standard output.
`void`	`insertaMuestra(Muestra ejemplo)` Adds the given example to the dataset.
`float[]`	`listaProbabilidadesAtributoClase(Atributo atributo, java.util.Vector clases)` Returns the probabilities vector related to examples with the pair attribute-value and the list of existing classes given.
`int`	`numeroMuestrasCondiciones(Regla hormiga, java.util.Vector cVacias)` Returns the number of examples covered by the conditions stored in the rule given.
`int`	`numeroMuestrasCubiertas(Regla hormiga, java.util.Vector cVacias)` Returns the number of examples covered by the whole rule given (covered by the conditions and with the same class of the rule).
`int`	`numeroMuestrasCubiertasSinClase(Regla hormiga)` Returns the number of examples covered by the whole rule given (covered by the conditions and without the same class of the rule).
`int`	`obtenerMayorClase(java.util.Vector listaClases)` Returns the majority class of the dataset (most frequent class).
`Muestra`	`obtenerMuestra()` Returns the first example of the dataset.
`Muestra`	`obtenerMuestra(int indice)` Returns the example in the position given.
`java.util.Vector`	`obtenerMuestras()` Returns all the examples in the dataset.
`float`	`porcentajeMuestrasClase(Atributo clase)` Returns the percentage of examples with the given class.
`int[]`	`porcentajeMuestrasClase(java.util.Vector clases)` Returns the percentage of examples for each class.
`float`	`porcentajeMuestrasCondicion(Condicion condicion, Atributo clase)` Returns the percentage of examples with the given class covered by the given condition.
`float`	`porcentajeMuestrasCubiertas(Regla regla, java.util.Vector cVacias)` Computes the percentage of examples of the dataset covered by the given rule.
`float`	`porcentajeMuestrasVacias(Atributo vacio, Atributo clase)` Returns the percentage of examples with the given class and the attribute as null.
`int`	`tamanio()` Returns the number of examples in the dataset.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - ConjuntoDatos
```
public ConjuntoDatos()
```
    Default constructor. Nothing is done.
  - ConjuntoDatos
```
public ConjuntoDatos(java.util.Vector datos)
```
    Parameter constructor. An dataset is built using the given examples vector.
    
    Parameters:
    
    datos - Vector with the examples to include in the dataset built.
- Method Detail
  - insertaMuestra
```
public void insertaMuestra(Muestra ejemplo)
```
    Adds the given example to the dataset.
    
    Parameters:
    
    ejemplo - given example to be added.
  - eliminaMuestra
```
public void eliminaMuestra(int indice)
```
    Removes an example with the given position.
    
    Parameters:
    
    indice - int position of the example to be removed.
  - eliminaMuestra
```
public boolean eliminaMuestra(Muestra muestra)
```
    Removes the given example from the dataset.
    
    Parameters:
    
    muestra - Muestra given example to be removed.
    
    Returns:
    
    True if the example have been removed, false otherwise.
  - obtenerMuestra
```
public Muestra obtenerMuestra()
```
    Returns the first example of the dataset.
    
    Returns:
    
    Muestra the first example of the dataset.
  - obtenerMuestra
```
public Muestra obtenerMuestra(int indice)
```
    Returns the example in the position given.
    
    Parameters:
    
    indice - int given position of the example asked.
    
    Returns:
    
    Muestra the example in the position given.
  - imprimir
```
public void imprimir(java.lang.String nombre)
```
    Prints the dataset on the standard output.
    
    Parameters:
    
    nombre - String Name of the dataset.
  - tamanio
```
public int tamanio()
```
    Returns the number of examples in the dataset.
    
    Returns:
    
    int the number of examples in the dataset.
  - listaProbabilidadesAtributoClase
```
public float[] listaProbabilidadesAtributoClase(Atributo atributo,
                                                java.util.Vector clases)
```
    Returns the probabilities vector related to examples with the pair attribute-value and the list of existing classes given.
    
    Parameters:
    
    atributo - Atributo pair attribute and value.
    
    clases - Vector of existing classes.
    
    Returns:
    
    float [] probabilities array.
  - eliminaMuestrasCubiertas
```
public void eliminaMuestrasCubiertas(Regla regla)
```
    Removes from dataset the covered cases by the given rule.
    
    Parameters:
    
    regla - Regla given rule that cover the different cases to be removed.
  - eliminaMuestrasClase
```
public void eliminaMuestrasClase(Regla regla)
```
    Removes from the set the covered cases which have the same class as the rule given.
    
    Parameters:
    
    regla - Regla given rule.
  - porcentajeMuestrasCubiertas
```
public float porcentajeMuestrasCubiertas(Regla regla,
                                         java.util.Vector cVacias)
```
    Computes the percentage of examples of the dataset covered by the given rule.
    
    Parameters:
    
    regla - Regla given rule to check with.
    
    cVacias - Empty/Null conditions of the rule.
    
    Returns:
    
    float he percentage of examples covered by the rule.
  - obtenerMuestras
```
public java.util.Vector obtenerMuestras()
```
    Returns all the examples in the dataset.
    
    Returns:
    
    all the examples Muestra in the dataset.
  - obtenerMayorClase
```
public int obtenerMayorClase(java.util.Vector listaClases)
```
    Returns the majority class of the dataset (most frequent class).
    
    Parameters:
    
    listaClases - Vector of existing classes.
    
    Returns:
    
    int the position of the majority class (class id).
  - porcentajeMuestrasCondicion
```
public float porcentajeMuestrasCondicion(Condicion condicion,
                                         Atributo clase)
```
    Returns the percentage of examples with the given class covered by the given condition.
    
    Parameters:
    
    condicion - Given condition to check.
    
    clase - Given class.
    
    Returns:
    
    the percentage of examples with the given class covered by the given condition.
  - porcentajeMuestrasVacias
```
public float porcentajeMuestrasVacias(Atributo vacio,
                                      Atributo clase)
```
    Returns the percentage of examples with the given class and the attribute as null.
    
    Parameters:
    
    vacio - Given condition to check.
    
    clase - Given class.
    
    Returns:
    
    the percentage of examples with the given class and the attribute as null.
  - porcentajeMuestrasClase
```
public float porcentajeMuestrasClase(Atributo clase)
```
    Returns the percentage of examples with the given class.
    
    Parameters:
    
    clase - Given class.
    
    Returns:
    
    the percentage of examples with the given class.
  - porcentajeMuestrasClase
```
public int[] porcentajeMuestrasClase(java.util.Vector clases)
```
    Returns the percentage of examples for each class.
    
    Parameters:
    
    clases - Vector of existing classes.
    
    Returns:
    
    the percentage of examples for each class.
  - numeroMuestrasCondiciones
```
public int numeroMuestrasCondiciones(Regla hormiga,
                                     java.util.Vector cVacias)
```
    Returns the number of examples covered by the conditions stored in the rule given.
    
    Parameters:
    
    hormiga - Rule given.
    
    cVacias - Empty/Null conditions vector.
    
    Returns:
    
    the number of examples covered by the conditions stored in the rule given.
  - numeroMuestrasCubiertas
```
public int numeroMuestrasCubiertas(Regla hormiga,
                                   java.util.Vector cVacias)
```
    Returns the number of examples covered by the whole rule given (covered by the conditions and with the same class of the rule). Returns the number of correctly covered examples.
    
    Parameters:
    
    hormiga - Rule given.
    
    cVacias - Empty/Null conditions vector.
    
    Returns:
    
    the number of examples covered by the whole rule given.
  - numeroMuestrasCubiertasSinClase
```
public int numeroMuestrasCubiertasSinClase(Regla hormiga)
```
    Returns the number of examples covered by the whole rule given (covered by the conditions and without the same class of the rule). Returns the number of covered examples, correctly or not.
    
    Parameters:
    
    hormiga - Rule given.
    
    Returns:
    
    the number of examples covered by the whole rule given.
  - cubreMinimo
```
public boolean cubreMinimo(Regla hormiga,
                           int minimoCasosRegla)
```
    Checks if the rule covers the minimum examples to be considered.
    
    Parameters:
    
    hormiga - Rule to be check.
    
    minimoCasosRegla - Minimum number of covered example.
    
    Returns:
    
    True if the rule covers the minimum examples to be considered.

Class ConjuntoDatos

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

ConjuntoDatos

ConjuntoDatos

Method Detail

insertaMuestra

eliminaMuestra

eliminaMuestra

obtenerMuestra

obtenerMuestra

imprimir

tamanio

listaProbabilidadesAtributoClase

eliminaMuestrasCubiertas

eliminaMuestrasClase

porcentajeMuestrasCubiertas

obtenerMuestras

obtenerMayorClase

porcentajeMuestrasCondicion

porcentajeMuestrasVacias

porcentajeMuestrasClase

porcentajeMuestrasClase

numeroMuestrasCondiciones

numeroMuestrasCubiertas

numeroMuestrasCubiertasSinClase

cubreMinimo