keel.Algorithms.Decision_Trees.SLIQ

Class Algorithm

java.lang.Object

keel.Algorithms.Decision_Trees.SLIQ.Algorithm

Direct Known Subclasses:

SLIQ

public abstract class Algorithm
extends java.lang.Object

Abstract class of the algorithm implemented.

Field Summary

Fields

Modifier and Type	Field and Description
protected int	correct Number of correctly classified example from training dataset.
protected static java.io.BufferedWriter	log Log buffer.
protected Dataset	modelDataset Model dataset.
protected static java.lang.String	modelFileName File's name which contains all the information needed to build the model.
protected static java.lang.String	resultFileName Results file's name.
protected long	startTime Starting time of the execution.
protected int	testCorrect Number of correctly classified example from test dataset.
protected Dataset	testDataset Test dataset.
protected static java.lang.String	testFileName Test dataset file's name.
protected static java.lang.String	testOutputFileName Name of the test output file.
protected Dataset	trainDataset Training dataset.
protected static java.lang.String	trainFileName Training dataset file's name.
protected static java.lang.String	trainOutputFileName Name of the training output file.

Constructor Summary

Constructors

Constructor and Description
Algorithm()

Method Summary

Modifier and Type	Method and Description
protected java.lang.String	getHeader() Function to get the name of the relation and the names, types and possible values of every attribute in a dataset.
protected void	initTokenizer(java.io.StreamTokenizer tokenizer) Function to initialize the stream tokenizer.
protected abstract void	printResult() Evaluates the algorithm and writes the results in the file.
protected abstract void	printTest() Evaluates the test dataset and writes the results in the file.
protected abstract void	printTrain() Evaluates the training dataset and writes the results in the file.
protected abstract void	setOptions(java.io.StreamTokenizer options) Function to read the options from the execution file and assign the values to the parameters.

Methods inherited from class java.lang.Object

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

Field Detail

modelFileName

protected static java.lang.String modelFileName

File's name which contains all the information needed to build the model.

trainFileName

protected static java.lang.String trainFileName

Training dataset file's name.

testFileName

protected static java.lang.String testFileName

Test dataset file's name.

trainOutputFileName

protected static java.lang.String trainOutputFileName

Name of the training output file.

testOutputFileName

protected static java.lang.String testOutputFileName

Name of the test output file.

resultFileName

protected static java.lang.String resultFileName

Results file's name.

correct

protected int correct

Number of correctly classified example from training dataset.

testCorrect

protected int testCorrect

Number of correctly classified example from test dataset.

modelDataset

protected Dataset modelDataset

Model dataset.

trainDataset

protected Dataset trainDataset

Training dataset.

testDataset

protected Dataset testDataset

Test dataset.

log

protected static java.io.BufferedWriter log

Log buffer.

startTime

protected long startTime

Starting time of the execution.

Constructor Detail

Algorithm

public Algorithm()

Method Detail

initTokenizer

protected void initTokenizer(java.io.StreamTokenizer tokenizer)

Function to initialize the stream tokenizer.

Parameters:

tokenizer - The tokenizer.

getHeader

protected java.lang.String getHeader()

Function to get the name of the relation and the names, types and possible values of every attribute in a dataset.

Returns:

The name and the attributes of the relation.

setOptions

protected abstract void setOptions(java.io.StreamTokenizer options)
                            throws java.lang.Exception

Function to read the options from the execution file and assign the values to the parameters.

Parameters:

options - The StreamTokenizer that reads the parameters file.

Throws:

java.lang.Exception - If the format of the file is not correct.

printResult

protected abstract void printResult()
                             throws java.io.IOException

Evaluates the algorithm and writes the results in the file.

Throws:

java.io.IOException - If the file cannot be written.

printTest

protected abstract void printTest()
                           throws java.io.IOException

Evaluates the test dataset and writes the results in the file.

Throws:

java.io.IOException - If the file cannot be written.

printTrain

protected abstract void printTrain()
                            throws java.io.IOException

Evaluates the training dataset and writes the results in the file.

Throws:

java.io.IOException - If the file cannot be written.