keel.Algorithms.Genetic_Rule_Learning.PSO_ACO

Class myDataset

java.lang.Object

keel.Algorithms.Genetic_Rule_Learning.PSO_ACO.myDataset

public class myDataset
extends java.lang.Object

Title: myDataset

Description: It contains the methods to read a Classification/Regression Dataset

Company: KEEL

Version:

1.0

Author:

Alberto Fernández

Field Summary

Fields

Modifier and Type	Field and Description
InstanceSet	IS The whole instance set.

Constructor Summary

Constructors

Constructor and Description
myDataset() Constructor.

Method Summary

Modifier and Type	Method and Description
void	calculaMasComunes() Computes the most frequent values for every attribute.
java.lang.String	copyHeader() It copies the header of the dataset
java.lang.String[]	dameClases() It returns the name of every output values (possible classes).
java.lang.String[]	dameNombres() It returns the name of every input attributes.
double[][]	dameRangos() Returns the minimum and maximum values of every attributes as a matrix.
int[]	dameTipos() Returns the type of each input attribute
java.lang.String[][]	dameValores() Returns the values as String for every attribute.
int[]	getC() Returns the output of the data-set as integer values
double[]	getemaximo() It returns an array with the maximum values of the attributes
double[]	geteminimo() It returns an array with the minimum values of the attributes
int	getnclases() It gets the number of output attributes of the data-set (for example number of classes in classification)
int	getndatos() It gets the size of the data-set
int	getnentradas() It gets the number of input attributes of the data-set
int	getnvariables() It gets the number of variables of the data-set (including the output)
double[][]	getX() Outputs an array of examples with their corresponding attribute values.
boolean	hayAtributosContinuos() It checks if the data-set has any real value
boolean	isMissing(int i, int j) This function checks if the attribute value is missing
int	masComun(int i) Returns the most frequent value of the ith attribute.
void	readClassificationSet(java.lang.String datasetFile, boolean train) It reads the whole input data-set and it stores each example and its associated output value in local arrays to ease their use.
int[]	tiposVar() Returns the type of each input attribute (NOMINAL = 0 OR NUMERIC = 1)
double[]	valoresMin() It returns an array with the minimum values of the attributes

Methods inherited from class java.lang.Object

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

Field Detail

IS

public InstanceSet IS

The whole instance set.

Constructor Detail

myDataset

public myDataset()

Constructor. Create a new instance set.

Method Detail

getX

public double[][] getX()

Outputs an array of examples with their corresponding attribute values.

Returns:

double[][] an array of examples with their corresponding attribute values

getC

public int[] getC()

Returns the output of the data-set as integer values

Returns:

int[] an array of integer values corresponding to the output values of the dataset

getemaximo

public double[] getemaximo()

It returns an array with the maximum values of the attributes

Returns:

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

geteminimo

public double[] geteminimo()

It returns an array with the minimum values of the attributes

Returns:

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

getndatos

public int getndatos()

It gets the size of the data-set

Returns:

int the number of examples in the data-set

getnvariables

public int getnvariables()

It gets the number of variables of the data-set (including the output)

Returns:

int the number of variables of the data-set (including the output)

getnentradas

public int getnentradas()

It gets the number of input attributes of the data-set

Returns:

int the number of input attributes of the data-set

getnclases

public int getnclases()

It gets the number of output attributes of the data-set (for example number of classes in classification)

Returns:

int the number of different output values of the data-set

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

readClassificationSet

public void readClassificationSet(java.lang.String datasetFile,
                                  boolean train)
                           throws java.io.IOException

It reads the whole input data-set and it stores each example and its associated output value in local arrays to ease their use.

Parameters:

datasetFile - String name of the file containing the dataset

train - boolean It must have the value "true" if we are reading the training data-set

Throws:

java.io.IOException - If there ocurs any problem with the reading of the data-set

copyHeader

public java.lang.String copyHeader()

It copies the header of the dataset

Returns:

String A string containing all the data-set information

tiposVar

public int[] tiposVar()

Returns the type of each input attribute (NOMINAL = 0 OR NUMERIC = 1)

Returns:

int[] Vector with binary values, indicating if the attributes are nominal or numeric.

calculaMasComunes

public void calculaMasComunes()

Computes the most frequent values for every attribute.

masComun

public int masComun(int i)

Returns the most frequent value of the ith attribute.

Parameters:

i - int Number of the attribute

Returns:

int The most frequent value of that attribute.

dameRangos

public double[][] dameRangos()

Returns the minimum and maximum values of every attributes as a matrix. The matrix has a size of number_of_attributes x 2 ([nAttributes][2]). The minimum value is located at the first position of each array and the maximum, at the second.

Returns:

Matrix which stores the minimum and maximum values of every attributes.

dameTipos

public int[] dameTipos()

Returns the type of each input attribute

Returns:

int[] the type of each input attribute

dameNombres

public java.lang.String[] dameNombres()

It returns the name of every input attributes.

Returns:

String [] Array of strings with the name of every input attribute's names.

dameClases

public java.lang.String[] dameClases()

It returns the name of every output values (possible classes).

Returns:

String [] Array of strings with the name of every output attribute's names.

dameValores

public java.lang.String[][] dameValores()

Returns the values as String for every attribute.

Returns:

String[][] array of String, the values for every attribute.

valoresMin

public double[] valoresMin()

It returns an array with the minimum values of the attributes

Returns:

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

hayAtributosContinuos

public boolean hayAtributosContinuos()

It checks if the data-set has any real value

Returns:

boolean True if it has some real values, else false.