keel.Algorithms.Subgroup_Discovery.MESDIF.MESDIF

Class TableVar

java.lang.Object

keel.Algorithms.Subgroup_Discovery.MESDIF.MESDIF.TableVar

public class TableVar
extends java.lang.Object

Class defined to store the information of the variable of the dataset

Since:

JDK1.5

Version:

2.0

Author:

Writed by Pedro González (University of Jaen) 15/02/2004, Modified by Pedro González (University of Jaen) 4/08/2007, Modified by Cristóbal J. Carmona (University of Jaen) 30/06/2010

Constructor Summary

Constructors

Constructor and Description
TableVar() Creates a new instance of TableVar

Method Summary

Modifier and Type	Method and Description
float	Fuzzy(int i, int j, float X) Return the belonging of a value
void	GainInit(TableDat Examples, java.lang.String nFile) Computes and stores the information gain of each attribute (variable) of the dataset
boolean	getContinuous(int pos) Returns if the variable "pos" is or not continua
float	getGain(int pos) Returns the gain of the variable "pos"
float	getMax(int pos) Returns the maximum valid value for the variable "pos"
int	getMaxLabel() Returns the maximum number of labels of all the variables
int	getMaxVal() Returns the maximum number of values of all the variables
float	getMin(int pos) Returns the minimum valid value for the variable "pos"
java.lang.String	getNameClassObj() Returns the name of the class of the target variable
int	getNClass() Returns the number of classes of the target variable
int	getNLabel() Returns the number of labels for all the continuous variables
int	getNLabelVar(int pos) Returns the number of labels of the var indicated by "pos"
int	getNumClassObj() Returns the number of the class of the target variable
int	getNVars() Returns the number of variables
char	getType(int pos) Returns the type of the variable "pos"
float	getX0(int i, int j) Method to return the value of the cut points X0
float	getX1(int i, int j) Method to return the value of the cut points X1
float	getX3(int i, int j) Method to return the value of the cut points X3
void	InitSemantics(java.lang.String nFile) Defined to manage de semantics of the linguistic variables Generates the semantics of the linguistic variables using a partition consisting of triangle simetrics fuzzy sets.
void	Load(int size) Fill TableVar with the characteristics of the variables and creates characteristics and intervals for the fuzzy sets
float	Round(float val, float tope) Rounds the generated value for the semantics when necesary
void	setNameClassObj(java.lang.String clas) Sets the name of the class of the target variable
void	setNClass(int val) Sets the number of classes of the target variable
void	setNLabel(int val) Sets the number of labels for all the continuous variables
void	setNumClassObj(int clas) Sets the number of the class of the target variable

Methods inherited from class java.lang.Object

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

Constructor Detail

TableVar

public TableVar()

Creates a new instance of TableVar

Method Detail

getNVars

public int getNVars()

Returns the number of variables

Returns:

Number of variables

getNLabel

public int getNLabel()

Returns the number of labels for all the continuous variables

Returns:

Number of labels for continuous variables

setNLabel

public void setNLabel(int val)

Sets the number of labels for all the continuous variables

Parameters:

val - Number of linguistic labels

getMaxLabel

public int getMaxLabel()

Returns the maximum number of labels of all the variables

Returns:

The maximum number of labels of all variables

getMaxVal

public int getMaxVal()

Returns the maximum number of values of all the variables

Returns:

Maximum value of all variables

getNClass

public int getNClass()

Returns the number of classes of the target variable

Returns:

Number of values for the target variable

setNClass

public void setNClass(int val)

Sets the number of classes of the target variable

Parameters:

val - Number of classes

getNumClassObj

public int getNumClassObj()

Returns the number of the class of the target variable

Returns:

Number of the class of the target variable

setNumClassObj

public void setNumClassObj(int clas)

Sets the number of the class of the target variable

Parameters:

clas - Number of the class of the target variable

getNameClassObj

public java.lang.String getNameClassObj()

Returns the name of the class of the target variable

Returns:

Name of the class

setNameClassObj

public void setNameClassObj(java.lang.String clas)

Sets the name of the class of the target variable

Parameters:

clas - Name of the target variable

Fuzzy

public float Fuzzy(int i,
                   int j,
                   float X)

Return the belonging of a value

Parameters:

i - Position of the variable

j - Position of the value

X - Value

Returns:

Belonging grade of the value

getX0

public float getX0(int i,
                   int j)

Method to return the value of the cut points X0

Parameters:

i - Position of the variable

j - Position of the value

Returns:

Value of the cut points X0

getX1

public float getX1(int i,
                   int j)

Method to return the value of the cut points X1

Parameters:

i - Position of the variable

j - Position of the value

Returns:

Value of the cut points X1

getX3

public float getX3(int i,
                   int j)

Method to return the value of the cut points X3

Parameters:

i - Position of the variable

j - Position of the value

Returns:

Value of the cut points X3

Round

public float Round(float val,
                   float tope)

Rounds the generated value for the semantics when necesary

Parameters:

val - The value to round

tope -

Returns:

rounded value

InitSemantics

public void InitSemantics(java.lang.String nFile)

Defined to manage de semantics of the linguistic variables Generates the semantics of the linguistic variables using a partition consisting of triangle simetrics fuzzy sets. The cut points al stored at 0.5 level of the fuzzy sets to be considered in the computation of the gain of information. Also writes the semantics of the linguistic variables in the specified file

Parameters:

nFile - Name of file to write the semantics

Load

public void Load(int size)

Fill TableVar with the characteristics of the variables and creates characteristics and intervals for the fuzzy sets

Parameters:

size - Number of variables of the dataset

getMax

public float getMax(int pos)

Returns the maximum valid value for the variable "pos"

Parameters:

pos - Position of the variable

Returns:

Maximum value for the variable

getMin

public float getMin(int pos)

Returns the minimum valid value for the variable "pos"

Parameters:

pos - Position of the variable

Returns:

Minimum value for the variable

getNLabelVar

public int getNLabelVar(int pos)

Returns the number of labels of the var indicated by "pos"

Parameters:

pos - Position of the variable

Returns:

Number of labels for the variable

getContinuous

public boolean getContinuous(int pos)

Returns if the variable "pos" is or not continua

Parameters:

pos - Position of the variable

Returns:

Value true if the variable is continuous or false in otherwise

getType

public char getType(int pos)

Returns the type of the variable "pos"

Parameters:

pos - Position of the variable

Returns:

Type of the variable

getGain

public float getGain(int pos)

Returns the gain of the variable "pos"

Parameters:

pos - Position of the variable

Returns:

Gain of the variable

GainInit

public void GainInit(TableDat Examples,
                     java.lang.String nFile)

Computes and stores the information gain of each attribute (variable) of the dataset

Parameters:

Examples - Set of instances of the dataset

nFile - Name of the file