keel.Algorithms.Fuzzy_Rule_Learning.Genetic.ClassifierMOGUL

Class MyDataset

java.lang.Object

keel.Algorithms.Fuzzy_Rule_Learning.Genetic.ClassifierMOGUL.MyDataset

public class MyDataset
extends java.lang.Object

It contains the methods to read a Dataset

Since:

JDK 1.6

Version:

1.0

Author:

Written by Jesus Alcala Fernandez (University of Granada) 01/01/2004, Modified by Francisco José Berlanga (University of Jaén) 09/12/2008

Field Summary

Fields

Modifier and Type	Field and Description
java.lang.String[]	clases Classes values.
keel.Algorithms.Fuzzy_Rule_Learning.Genetic.ClassifierMOGUL.T_Table[]	datos Dataset.
keel.Algorithms.Fuzzy_Rule_Learning.Genetic.ClassifierMOGUL.T_Interval[]	extremos Variables intervals.
java.lang.String	fichero Input filename.
InstanceSet	IS Dataset (InstanceSet Object).
int	long_tabla Total number of variables.
int	n_inputs Total number of variables.
int	n_variables Total number of variables.
int	nClasses Number of classes.
int	no_cubiertos Number of uncovered instaces.
boolean	noOutputs Identifies if there is ouput variables or not.
java.lang.String[]	output Output files names.

Constructor Summary

Constructors

Constructor and Description
MyDataset(java.lang.String f, boolean train) Stores in memory the contents of the data file "f"

Method Summary

Modifier and Type	Method and Description
java.lang.String	getClassAsString(int pos) Return the name of the class in position "pos"
java.lang.String	getHeader() It returns the header
java.lang.String	getOutputAsString(int pos) Return the output value of the example in position "pos"
void	newTable() It create a new table with the examples from the Data Set
void	processModelDataset(java.lang.String nfejemplos, boolean train) Reads the Data Sets

Methods inherited from class java.lang.Object

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

Field Detail

datos

public keel.Algorithms.Fuzzy_Rule_Learning.Genetic.ClassifierMOGUL.T_Table[] datos

Dataset.

n_variables

public int n_variables

Total number of variables.

n_inputs

public int n_inputs

Total number of variables.

long_tabla

public int long_tabla

Total number of variables.

nClasses

public int nClasses

Number of classes.

no_cubiertos

public int no_cubiertos

Number of uncovered instaces.

output

public java.lang.String[] output

Output files names.

clases

public java.lang.String[] clases

Classes values.

extremos

public keel.Algorithms.Fuzzy_Rule_Learning.Genetic.ClassifierMOGUL.T_Interval[] extremos

Variables intervals.

fichero

public java.lang.String fichero

Input filename.

IS

public InstanceSet IS

Dataset (InstanceSet Object).

noOutputs

public boolean noOutputs

Identifies if there is ouput variables or not.

Constructor Detail

MyDataset

public MyDataset(java.lang.String f,
                 boolean train)

Stores in memory the contents of the data file "f"

Parameters:

f - String The name containing the Data Set

train - boolean TRUE is the Data Set contains the training data. FALSE if it contains the test data

Method Detail

processModelDataset

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

Reads the Data Sets

Parameters:

nfejemplos - String The name containing the Data Set

train - boolean TRUE is the Data Set contains the training data. FALSE if it contains the test data

Throws:

java.io.IOException - if the dataset can not be read.

getHeader

public java.lang.String getHeader()

It returns the header

Returns:

String The Header of the Data Set

newTable

public void newTable()

It create a new table with the examples from the Data Set

getOutputAsString

public java.lang.String getOutputAsString(int pos)

Return the output value of the example in position "pos"

Parameters:

pos - example position.

Returns:

String The output value for example in position "pos"

getClassAsString

public java.lang.String getClassAsString(int pos)

Return the name of the class in position "pos"

Parameters:

pos - example position.

Returns:

String The name of the class in position "pos"