keel.Algorithms.Genetic_Rule_Learning.Ant_Miner_Plus

Class ConjuntoDatos

java.lang.Object

keel.Algorithms.Genetic_Rule_Learning.Ant_Miner_Plus.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 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.

Method Summary

Modifier and Type	Method and Description
boolean	cubreMinimo(Regla hormiga, java.util.Vector cVacias, 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, java.util.Vector cVacias) 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	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,
                                     java.util.Vector cVacias)

Removes from dataset the covered cases by the given rule.

Parameters:

regla - Regla given rule that cover the different cases to be removed.

cVacias - Empty/Null conditions of the rule.

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.

cubreMinimo

public boolean cubreMinimo(Regla hormiga,
                           java.util.Vector cVacias,
                           int minimoCasosRegla)

Checks if the rule covers the minimum examples to be considered.

Parameters:

hormiga - Rule to be check.

cVacias - Empty/Null conditions vector.

minimoCasosRegla - Minimum number of covered example.

Returns:

True if the rule covers the minimum examples to be considered.