keel.Algorithms.Lazy_Learning.LazyDT

Class LazyDT

java.lang.Object

keel.Algorithms.Lazy_Learning.LazyAlgorithm

keel.Algorithms.Lazy_Learning.LazyDT.LazyDT

public class LazyDT
extends LazyAlgorithm

File: LazyDT.java The LazyDT algorithm doesn't build a decision tree model in a training phase and uses the model when we start classifying. In spite of that behaviour, it precomputes some of the operations that should be done, and only with some information advances to the classification step.

Since:

JDK1.5

Version:

0.1

Author:

Written by Victoria Lopez Morales (University of Granada) 24/08/2009

Field Summary

Fields inherited from class keel.Algorithms.Lazy_Learning.LazyAlgorithm

confMatrix, initialTime, inputAtt, inputs, modelTime, name, nClasses, nInstances, nulls, outFile, output, prediction, predictions, probabilities, realClass, reference, referenceData, referenceFile, referenceOutput, relation, seed, temp, test, testData, testFile, testOutput, testTime, train, trainConfMatrix, trainData, trainFile, trainingTime, trainOutput, trainPrediction, trainRealClass, trainUnclassified, unclassified

Constructor Summary

Constructors

Constructor and Description
LazyDT(java.lang.String script) Creates a LazyDT instance by reading the script file that contains all the information needed for running the algorithm

Method Summary

Modifier and Type	Method and Description
protected int	evaluate(double[] example) Classifies a given item with the information stored using the LazyDT algorithm
void	precompute() Does some previous computations to the beginning of the algorithm, this means, getting the number of different values of the categorical attributes and the denormalization of the dataset
protected void	readParameters(java.lang.String script) Reads configuration script, to extract the parameter's values.

Methods inherited from class keel.Algorithms.Lazy_Learning.LazyAlgorithm

euclideanDistance, evaluate2, execute, executeReference, manhattanDistance, normalizeReference, normalizeTest, normalizeTrain, printInstance, readConfiguracion, readDataFiles, readDataFiles, readDataFiles, same, setInitialTime

Methods inherited from class java.lang.Object

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

Constructor Detail

LazyDT

public LazyDT(java.lang.String script)

Creates a LazyDT instance by reading the script file that contains all the information needed for running the algorithm

Parameters:

script - The configuration script which contains the parameters of the algorithm

Method Detail

readParameters

protected void readParameters(java.lang.String script)

Reads configuration script, to extract the parameter's values.

Specified by:

readParameters in class LazyAlgorithm

Parameters:

script - Name of the configuration script

evaluate

protected int evaluate(double[] example)

Classifies a given item with the information stored using the LazyDT algorithm

Specified by:

evaluate in class LazyAlgorithm

Parameters:

example - Data attribute values for the item we are classifying

Returns:

the class asigned to the item given

precompute

public void precompute()

Does some previous computations to the beginning of the algorithm, this means, getting the number of different values of the categorical attributes and the denormalization of the dataset