keel.Algorithms.Associative_Classification.ClassifierFuzzyFARCHD

Class myDataset

java.lang.Object

keel.Algorithms.Associative_Classification.ClassifierFuzzyFARCHD.myDataset

public class myDataset
extends java.lang.Object

Title: Dataset

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
static int	INTEGER Number to represent type of variable integer.
static int	NOMINAL Number to represent type of variable nominal.
static int	REAL Number to represent type of variable real or double.

Constructor Summary

Constructors

Constructor and Description
myDataset() Init a new set of instances

Method Summary

Modifier and Type	Method and Description
java.lang.String[]	clases() It returns the name of the classes
void	computeInstancesPerClass() It computes the number the instances per class.
java.lang.String	copyHeader() It copies the header of the dataset
double	frecuentClass(int clas) It returns the ratio of instances of the given class in the dataset
double[]	getemax() It returns an array with the maximum values of the attributes
double[]	getemin() It returns an array with the minimum values of the attributes
double[]	getExample(int pos) Output a specific example
double	getMax(int variable) It returns the maximum value of the attribute specified
double	getMin(int variable) It returns the minimum value of the attribute specified
int	getnClasses() It gets the number of output attributes of the data-set (for example number of classes in classification)
int	getnData() It gets the size of the data-set
int	getnInputs() It gets the number of input attributes of the data-set
int	getnVars() It gets the number of variables of the data-set (including the output)
int[]	getOutputAsInteger() Returns the output of the data-set as integer values
int	getOutputAsInteger(int pos) It returns the output value of the example "pos"
double[]	getOutputAsReal() Returns the output of the data-set as real values
double	getOutputAsReal(int pos) It returns the output value of the example "pos"
java.lang.String[]	getOutputAsString() Returns the output of the data-set as nominal values
java.lang.String	getOutputAsString(int pos) It returns the output value of the example "pos"
java.lang.String	getOutputValue(int intValue) It returns the name of the class of index intValue
int	getTipo(int variable) It returns the type of the attribute specified
double[][]	getX() Outputs an array of examples with their corresponding attribute values.
boolean	hasMissingAttributes() It checks if the data-set has any missing value
boolean	hasNumericalAttributes() It checks if the data-set has any numerical value
boolean	hasRealAttributes() It checks if the data-set has any real value
boolean	isInteger(int i) This function checks if the attribute value is integer
boolean	isMissing(int i, int j) This function checks if the attribute value is missing
boolean	isNominal(int i) This function checks if the attribute value is nominal
java.lang.String[]	names() It returns the name of the attributes
int	numberInstances(int clas) It returns the number of instances in the dataset of the given class
int	numberValues(int attribute) It returns the number of different values of an 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.
double[][]	returnRanks() Returns the minimum and maximum values of every attributes as a matrix.
int	size() It returns the number of examples
int	sizeWithoutMissing() It return the size of the data-set without having account the missing values

Methods inherited from class java.lang.Object

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

Field Detail

REAL

public static final int REAL

Number to represent type of variable real or double.

See Also:

Constant Field Values

INTEGER

public static final int INTEGER

Number to represent type of variable integer.

See Also:

Constant Field Values

NOMINAL

public static final int NOMINAL

Number to represent type of variable nominal.

See Also:

Constant Field Values

Constructor Detail

myDataset

public myDataset()

Init a new set of instances

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

getExample

public double[] getExample(int pos)

Output a specific example

Parameters:

pos - int position (id) of the example in the data-set

Returns:

double[] the attributes of the given example

getOutputAsInteger

public int[] getOutputAsInteger()

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

getOutputAsReal

public double[] getOutputAsReal()

Returns the output of the data-set as real values

Returns:

double[] an array of real values corresponding to the output values of the dataset

getOutputAsString

public java.lang.String[] getOutputAsString()

Returns the output of the data-set as nominal values

Returns:

String[] an array of nomianl values corresponding to the output values of the dataset

getOutputAsString

public java.lang.String getOutputAsString(int pos)

It returns the output value of the example "pos"

Parameters:

pos - int the position (id) of the example

Returns:

String a string containing the output value

getOutputAsInteger

public int getOutputAsInteger(int pos)

It returns the output value of the example "pos"

Parameters:

pos - int the position (id) of the example

Returns:

int an integer containing the output value

getOutputAsReal

public double getOutputAsReal(int pos)

It returns the output value of the example "pos"

Parameters:

pos - int the position (id) of the example

Returns:

double a real containing the output value

getemax

public double[] getemax()

It returns an array with the maximum values of the attributes

Returns:

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

getemin

public double[] getemin()

It returns an array with the minimum values of the attributes

Returns:

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

getMax

public double getMax(int variable)

It returns the maximum value of the attribute specified

Parameters:

variable - index of the attribute

Returns:

the maximum value of the attribute

getMin

public double getMin(int variable)

It returns the minimum value of the attribute specified

Parameters:

variable - index of the attribute

Returns:

the minimum value of the attribute

getnData

public int getnData()

It gets the size of the data-set

Returns:

int the number of examples in the data-set

getnVars

public int getnVars()

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)

getnInputs

public int getnInputs()

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

Returns:

int the number of input attributes of the data-set

getnClasses

public int getnClasses()

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

isNominal

public boolean isNominal(int i)

This function checks if the attribute value is nominal

Parameters:

i - int attribute id

Returns:

boolean True is the value is nominal, else it returns false

isInteger

public boolean isInteger(int i)

This function checks if the attribute value is integer

Parameters:

i - int attribute id

Returns:

boolean True is the value is integer, 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

hasRealAttributes

public boolean hasRealAttributes()

It checks if the data-set has any real value

Returns:

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

hasNumericalAttributes

public boolean hasNumericalAttributes()

It checks if the data-set has any numerical value

Returns:

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

hasMissingAttributes

public boolean hasMissingAttributes()

It checks if the data-set has any missing value

Returns:

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

sizeWithoutMissing

public int sizeWithoutMissing()

It return the size of the data-set without having account the missing values

Returns:

int the size of the data-set without having account the missing values

size

public int size()

It returns the number of examples

Returns:

the number of examples

computeInstancesPerClass

public void computeInstancesPerClass()

It computes the number the instances per class.

numberInstances

public int numberInstances(int clas)

It returns the number of instances in the dataset of the given class

Parameters:

clas - the index of the class

Returns:

the number of instances in the dataset of the given class

frecuentClass

public double frecuentClass(int clas)

It returns the ratio of instances of the given class in the dataset

Parameters:

clas - the index of the class

Returns:

the ratio of instances of the given class in the dataset

numberValues

public int numberValues(int attribute)

It returns the number of different values of an attribute

Parameters:

attribute - the index of the attribute

Returns:

the number of different values of an attribute

getOutputValue

public java.lang.String getOutputValue(int intValue)

It returns the name of the class of index intValue

Parameters:

intValue - the index of the class

Returns:

the name of the class of index intValue

getTipo

public int getTipo(int variable)

It returns the type of the attribute specified

Parameters:

variable - index of the attribute

Returns:

the type of the attribute specified

returnRanks

public double[][] returnRanks()

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.

names

public java.lang.String[] names()

It returns the name of the attributes

Returns:

the name of the attributes

clases

public java.lang.String[] clases()

It returns the name of the classes

Returns:

the name of the classes