keel.Algorithms.Rule_Learning.C45Rules

Class C45

java.lang.Object

keel.Algorithms.Rule_Learning.C45Rules.Algorithm

keel.Algorithms.Rule_Learning.C45Rules.C45

public class C45
extends Algorithm

para commons.configuration import org.apache.commons.configuration.*;

Field Summary

Fields inherited from class keel.Algorithms.Rule_Learning.C45Rules.Algorithm

correct, log, modelDataset, modelFileName, resultFileName, startTime, testCorrect, testDataset, testFileName, testOutputFileName, trainDataset, trainFileName, trainOutputFileName

Constructor Summary

Constructors

Constructor and Description
C45(parseParameters paramFile) Constructor.

Method Summary

Modifier and Type	Method and Description
double[]	classificationForItemset(Itemset itemset) Returns class probabilities for an itemset.
double	evaluateItemset(Itemset itemset) Function to evaluate the class which the itemset must have according to the classification of the tree.
void	generateTree(MyDataset itemsets) Generates the tree.
Tree	getTree() Returns the C4.5 tree
static int	maxIndex(double[] doubles) Returns index of maximum element in a given array of doubles.
void	priorsProbabilities() Sets the class prior probabilities.
java.lang.String	toString() Function to print the tree.

Methods inherited from class keel.Algorithms.Rule_Learning.C45Rules.Algorithm

getHeader, getNextToken, initTokenizer

Methods inherited from class java.lang.Object

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

Constructor Detail

C45

public C45(parseParameters paramFile)
    throws java.lang.Exception

Constructor.

Parameters:

paramFile - The parameters file.

Throws:

java.lang.Exception - If the algorithm cannot be executed.

Method Detail

generateTree

public void generateTree(MyDataset itemsets)
                  throws java.lang.Exception

Generates the tree.

Parameters:

itemsets - The dataset used to build the tree.

Throws:

java.lang.Exception - If the tree cannot be built.

evaluateItemset

public double evaluateItemset(Itemset itemset)
                       throws java.lang.Exception

Function to evaluate the class which the itemset must have according to the classification of the tree.

Parameters:

itemset - The itemset to evaluate.

Returns:

The index of the class index predicted.

Throws:

java.lang.Exception - If cannot compute the classification.

classificationForItemset

public final double[] classificationForItemset(Itemset itemset)
                                        throws java.lang.Exception

Returns class probabilities for an itemset.

Parameters:

itemset - The itemset.

Returns:

class probabilities for an itemset.

Throws:

java.lang.Exception - If cannot compute the classification.

maxIndex

public static int maxIndex(double[] doubles)

Returns index of maximum element in a given array of doubles. First maximum is returned.

Parameters:

doubles - The array of elements.

Returns:

index of maximum element in a given array of doubles. First maximum is returned.

priorsProbabilities

public void priorsProbabilities()
                         throws java.lang.Exception

Sets the class prior probabilities.

Throws:

java.lang.Exception - If cannot compute the probabilities.

toString

public java.lang.String toString()

Function to print the tree.

Overrides:

toString in class java.lang.Object

Returns:

a string representation of the C4.5 tree

getTree

public Tree getTree()

Returns the C4.5 tree

Returns:

the C4.5 tree