Package weka.classifiers.trees.j48

Class PruneableClassifierTree

java.lang.Object

weka.classifiers.trees.j48.ClassifierTree

weka.classifiers.trees.j48.PruneableClassifierTree

All Implemented Interfaces:

Serializable, CapabilitiesHandler, Drawable, RevisionHandler

public class PruneableClassifierTree
extends ClassifierTree

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

Version:

$Revision$

Author:

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

See Also:

Serialized Form

Field Summary

Fields inherited from interface weka.core.Drawable

BayesNet, Newick, NOT_DRAWABLE, TREE

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method	Description
void	buildClassifier(Instances data)	Method for building a pruneable classifier tree.
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, getSons, getTrainingData, graph, graphType, isLeaf, numLeaves, numNodes, prefix, toSource, toString

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

PruneableClassifierTree

public PruneableClassifierTree(ModelSelection toSelectLocModel,
                               boolean pruneTree,
                               int num,
                               boolean cleanup,
                               int seed)
                        throws 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:

Exception - if something goes wrong

Method Detail

buildClassifier

public void buildClassifier(Instances data)
                     throws Exception

Method for building a pruneable classifier tree.

Overrides:

buildClassifier in class ClassifierTree

Parameters:

data - the data to build the tree from

Throws:

Exception - if tree can't be built successfully

prune

public void prune()
           throws Exception

Prunes a tree.

Throws:

Exception - if tree can't be pruned successfully

getRevision

public String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Overrides:

getRevision in class ClassifierTree

Returns:

the revision