weka.classifiers.trees.j48

Class PruneableClassifierTree

java.lang.Object

weka.classifiers.trees.j48.ClassifierTree

weka.classifiers.trees.j48.PruneableClassifierTree

All Implemented Interfaces:

java.io.Serializable, CapabilitiesHandler, Drawable, RevisionHandler

public class PruneableClassifierTree
extends ClassifierTree

Class for handling a tree structure that can be pruned using a pruning set.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected boolean	m_cleanup Cleanup after the tree has been built.
protected int	m_seed The random number seed.
protected int	numSets How many subsets of equal size?
protected boolean	pruneTheTree True if the tree is to be pruned.

Fields inherited from class weka.classifiers.trees.j48.ClassifierTree

m_id, m_isEmpty, m_isLeaf, m_localModel, m_sons, m_test, m_toSelectModel, m_train

Fields inherited from interface weka.core.Drawable

BayesNet, Newick, NOT_DRAWABLE, TREE

Constructor Summary

Constructors

Constructor and Description
PruneableClassifierTree(ModelSelection toSelectLocModel, boolean pruneTree, int num, boolean cleanup, int seed) Constructor for pruneable tree structure.

Method Summary

Modifier and Type	Method and Description
void	buildClassifier(Instances data) Method for building a pruneable classifier tree.
protected ClassifierTree	getNewTree(Instances train, Instances test) Returns a newly created tree.
java.lang.String	getRevision() Returns the revision string.
void	prune() Prunes a tree.

Methods inherited from class weka.classifiers.trees.j48.ClassifierTree

assignIDs, buildTree, buildTree, classifyInstance, cleanup, distributionForInstance, getCapabilities, getLocalModel, getMembershipValues, getNewTree, getSons, getTrainingData, graph, graphType, isLeaf, nextID, numLeaves, numNodes, prefix, resetID, toSource, toString

Methods inherited from class java.lang.Object

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

Field Detail

pruneTheTree

protected boolean pruneTheTree

True if the tree is to be pruned.

numSets

protected int numSets

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

m_cleanup

protected boolean m_cleanup

Cleanup after the tree has been built.

m_seed

protected int m_seed

The random number seed.

Constructor Detail

PruneableClassifierTree

public PruneableClassifierTree(ModelSelection toSelectLocModel,
                               boolean pruneTree,
                               int num,
                               boolean cleanup,
                               int seed)
                        throws java.lang.Exception

Constructor for pruneable tree structure. Stores reference to associated training data at each node.

Parameters:

toSelectLocModel - selection method for local splitting model

pruneTree - true if the tree is to be pruned

num - number of subsets of equal size

cleanup -

seed - the seed value to use

Throws:

java.lang.Exception - if something goes wrong

Method Detail

buildClassifier

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

Method for building a pruneable classifier tree.

Overrides:

buildClassifier in class ClassifierTree

Parameters:

data - the data to build the tree from

Throws:

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

prune

public void prune()
           throws java.lang.Exception

Prunes a tree.

Throws:

java.lang.Exception - if tree can't be pruned successfully

getNewTree

protected ClassifierTree getNewTree(Instances train,
                                    Instances test)
                             throws java.lang.Exception

Returns a newly created tree.

Overrides:

getNewTree in class ClassifierTree

Parameters:

train - the training data

test - the test data

Returns:

the generated tree

Throws:

java.lang.Exception - if something goes wrong

getRevision

public java.lang.String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Overrides:

getRevision in class ClassifierTree

Returns:

the revision