keel.Algorithms.Associative_Classification.ClassifierFuzzyFCRA

Class parseParameters

java.lang.Object

keel.Algorithms.Associative_Classification.ClassifierFuzzyFCRA.parseParameters

public class parseParameters
extends java.lang.Object

It reads the configuration file (data-set files and parameters)

Version:

1.0

Author:

Alberto Fernández

Constructor Summary

Constructors

Constructor and Description
parseParameters() Default constructor

Method Summary

Modifier and Type	Method and Description
java.lang.String	getAlgorithmName() It returns the algorithm name
java.lang.String	getInputFile(int pos) It returns the input file of the specified index
java.lang.String[]	getInputFiles() It returns the input files
java.lang.String	getOutputFile(int pos) It returns the output file of the specified index
java.lang.String[]	getOutputFiles() It returns the output files
java.lang.String	getParameter(int pos) It returns the name of the parameter specified
java.lang.String[]	getParameters() It returns the name of the parameters
java.lang.String	getTestInputFile() It returns the test input file
java.lang.String	getTestOutputFile() It returns the test output file
java.lang.String	getTrainingInputFile() It returns the training input file
java.lang.String	getTrainingOutputFile() It returns the training output file
java.lang.String	getValidationInputFile() It returns the validation input file
void	parseConfigurationFile(java.lang.String fileName) It obtains all the necesary information from the configuration file.

Methods inherited from class java.lang.Object

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

Constructor Detail

parseParameters

public parseParameters()

Default constructor

Method Detail

parseConfigurationFile

public void parseConfigurationFile(java.lang.String fileName)

It obtains all the necesary information from the configuration file.
First of all it reads the name of the input data-sets, training, validation and test.
Then it reads the name of the output files, where the training (validation) and test outputs will be stored
Finally it read the parameters of the algorithm, such as the random seed.

Parameters:

fileName - Name of the configuration file

getTrainingInputFile

public java.lang.String getTrainingInputFile()

It returns the training input file

Returns:

the training input file

getTestInputFile

public java.lang.String getTestInputFile()

It returns the test input file

Returns:

the test input file

getValidationInputFile

public java.lang.String getValidationInputFile()

It returns the validation input file

Returns:

the validation input file

getTrainingOutputFile

public java.lang.String getTrainingOutputFile()

It returns the training output file

Returns:

the training output file

getTestOutputFile

public java.lang.String getTestOutputFile()

It returns the test output file

Returns:

the test output file

getAlgorithmName

public java.lang.String getAlgorithmName()

It returns the algorithm name

Returns:

the algorithm name

getParameters

public java.lang.String[] getParameters()

It returns the name of the parameters

Returns:

the name of the parameters

getParameter

public java.lang.String getParameter(int pos)

It returns the name of the parameter specified

Parameters:

pos - the index of the parameter

Returns:

the name of the parameter specified

getInputFiles

public java.lang.String[] getInputFiles()

It returns the input files

Returns:

the input files

getInputFile

public java.lang.String getInputFile(int pos)

It returns the input file of the specified index

Parameters:

pos - index of the file

Returns:

the input file of the specified index

getOutputFiles

public java.lang.String[] getOutputFiles()

It returns the output files

Returns:

the output files

getOutputFile

public java.lang.String getOutputFile(int pos)

It returns the output file of the specified index

Parameters:

pos - index of the file

Returns:

the output file of the specified index