weka.classifiers.rules.part
Class MakeDecList

java.lang.Object
  weka.classifiers.rules.part.MakeDecList

All Implemented Interfaces:

java.io.Serializable

public class MakeDecList

extends java.lang.Object

implements java.io.Serializable

Class for handling a decision list.

Version:

$Revision: 1.12 $

Author:

Eibe Frank (eibe@cs.waikato.ac.nz)

See Also:

Serialized Form

Field Summary

private double	CF The confidence for C45-type pruning.
private int	m_seed The seed for random number generation.
private int	minNumObj Minimum number of objects
private int	numSetS How many subsets of equal size?
private boolean	reducedErrorPruning Use reduced error pruning?
private java.util.Vector	theRules Vector storing the rules.
private ModelSelection	toSelectModeL The model selection method.
private boolean	unpruned Generated unpruned list?

Constructor Summary

MakeDecList(ModelSelection toSelectLocModel, double cf, int minNum)
Constructor for dec list pruned using C4.5 pruning.

MakeDecList(ModelSelection toSelectLocModel, int minNum)
Constructor for unpruned dec list.

MakeDecList(ModelSelection toSelectLocModel, int num, int minNum, int seed)
Constructor for dec list pruned using hold-out pruning.

Method Summary

void	buildClassifier(Instances data) Builds dec list.
double	classifyInstance(Instance instance) Classifies an instance.
double[]	distributionForInstance(Instance instance) Returns the class distribution for an instance.
int	numRules() Outputs the number of rules in the classifier.
java.lang.String	toString() Outputs the classifier into a string.

Methods inherited from class java.lang.Object

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

Field Detail

theRules

private java.util.Vector theRules

Vector storing the rules.

CF

private double CF

The confidence for C45-type pruning.

minNumObj

private int minNumObj

Minimum number of objects

toSelectModeL

private ModelSelection toSelectModeL

The model selection method.

numSetS

private int numSetS

How many subsets of equal size? One used for pruning, the rest for training.

reducedErrorPruning

private boolean reducedErrorPruning

Use reduced error pruning?

unpruned

private boolean unpruned

Generated unpruned list?

m_seed

private int m_seed

The seed for random number generation.

Constructor Detail

MakeDecList

public MakeDecList(ModelSelection toSelectLocModel,
                   int minNum)

Constructor for unpruned dec list.

MakeDecList

public MakeDecList(ModelSelection toSelectLocModel,
                   double cf,
                   int minNum)

Constructor for dec list pruned using C4.5 pruning.

MakeDecList

public MakeDecList(ModelSelection toSelectLocModel,
                   int num,
                   int minNum,
                   int seed)

Constructor for dec list pruned using hold-out pruning.

Method Detail

buildClassifier

public void buildClassifier(Instances data)
                     throws java.lang.Exception

Builds dec list.

Throws:

java.lang.Exception - if dec list can't be built successfully

toString

public java.lang.String toString()

Outputs the classifier into a string.

classifyInstance

public double classifyInstance(Instance instance)
                        throws java.lang.Exception

Classifies an instance.

Throws:

java.lang.Exception - if instance can't be classified

distributionForInstance

public double[] distributionForInstance(Instance instance)
                                 throws java.lang.Exception

Returns the class distribution for an instance.

Throws:

java.lang.Exception - if distribution can't be computed

numRules

public int numRules()

Outputs the number of rules in the classifier.