weka.classifiers.rules.part

Class ClassifierDecList

java.lang.Object

weka.classifiers.rules.part.ClassifierDecList

All Implemented Interfaces:

java.io.Serializable, RevisionHandler

Direct Known Subclasses:

C45PruneableDecList, PruneableDecList

public class ClassifierDecList
extends java.lang.Object
implements java.io.Serializable, RevisionHandler

Class for handling a rule (partial tree) for a decision list.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected int	indeX Which son to expand?
protected boolean	m_isEmpty True if node is empty.
protected boolean	m_isLeaf True if node is leaf.
protected ClassifierSplitModel	m_localModel Local model at node.
protected int	m_minNumObj Minimum number of objects
protected ClassifierDecList[]	m_sons References to sons.
protected static EntropySplitCrit	m_splitCrit To compute the entropy.
protected Distribution	m_test The pruning instances.
protected ModelSelection	m_toSelectModel The model selection method.
protected Instances	m_train The training instances.

Constructor Summary

Constructors

Constructor and Description
ClassifierDecList(ModelSelection toSelectLocModel, int minNum) Constructor - just calls constructor of class DecList.

Method Summary

Modifier and Type	Method and Description
void	buildDecList(Instances data, boolean leaf) Builds the partial tree without hold out set.
void	buildRule(Instances data) Method for building a pruned partial tree.
int	chooseIndex() Method for choosing a subset to expand.
int	chooseLastIndex() Choose last index (ie. choose rule).
double	classifyInstance(Instance instance) Classifies an instance.
void	cleanup(Instances justHeaderInfo) Cleanup in order to save memory.
double[]	distributionForInstance(Instance instance) Returns class probabilities for a weighted instance.
protected ClassifierDecList	getNewDecList(Instances train, boolean leaf) Returns a newly created tree.
java.lang.String	getRevision() Returns the revision string.
protected double	getSizeOfBranch() Returns the number of instances covered by a branch
protected ClassifierSplitModel	localModel() Method just exists to make program easier to read.
protected ClassifierDecList	son(int index) Method just exists to make program easier to read.
java.lang.String	toString() Prints rules.
double	weight(Instance instance) Returns the weight a rule assigns to an instance.

Methods inherited from class java.lang.Object

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

Field Detail

m_minNumObj

protected int m_minNumObj

Minimum number of objects

m_splitCrit

protected static EntropySplitCrit m_splitCrit

To compute the entropy.

m_toSelectModel

protected ModelSelection m_toSelectModel

The model selection method.

m_localModel

protected ClassifierSplitModel m_localModel

Local model at node.

m_sons

protected ClassifierDecList[] m_sons

References to sons.

m_isLeaf

protected boolean m_isLeaf

True if node is leaf.

m_isEmpty

protected boolean m_isEmpty

True if node is empty.

m_train

protected Instances m_train

The training instances.

m_test

protected Distribution m_test

The pruning instances.

indeX

protected int indeX

Which son to expand?

Constructor Detail

ClassifierDecList

public ClassifierDecList(ModelSelection toSelectLocModel,
                         int minNum)

Constructor - just calls constructor of class DecList.

Method Detail

buildRule

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

Method for building a pruned partial tree.

Throws:

java.lang.Exception - if something goes wrong

buildDecList

public void buildDecList(Instances data,
                         boolean leaf)
                  throws java.lang.Exception

Builds the partial tree without hold out set.

Throws:

java.lang.Exception - if something goes wrong

classifyInstance

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

Classifies an instance.

Throws:

java.lang.Exception - if something goes wrong

distributionForInstance

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

Returns class probabilities for a weighted instance.

Throws:

java.lang.Exception - if something goes wrong

weight

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

Returns the weight a rule assigns to an instance.

Throws:

java.lang.Exception - if something goes wrong

cleanup

public final void cleanup(Instances justHeaderInfo)
                   throws java.lang.InterruptedException

Cleanup in order to save memory.

Throws:

java.lang.InterruptedException

toString

public java.lang.String toString()

Prints rules.

Overrides:

toString in class java.lang.Object

getNewDecList

protected ClassifierDecList getNewDecList(Instances train,
                                          boolean leaf)
                                   throws java.lang.Exception

Returns a newly created tree.

Throws:

java.lang.Exception - if something goes wrong

chooseIndex

public final int chooseIndex()

Method for choosing a subset to expand.

chooseLastIndex

public final int chooseLastIndex()

Choose last index (ie. choose rule).

getSizeOfBranch

protected double getSizeOfBranch()

Returns the number of instances covered by a branch

localModel

protected ClassifierSplitModel localModel()

Method just exists to make program easier to read.

son

protected ClassifierDecList son(int index)

Method just exists to make program easier to read.

getRevision

public java.lang.String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Returns:

the revision