weka.classifiers.j48
Class PruneableClassifierTree

java.lang.Object
  |
  +--weka.classifiers.j48.ClassifierTree
        |
        +--weka.classifiers.j48.PruneableClassifierTree

All Implemented Interfaces:

Drawable, java.io.Serializable

public class PruneableClassifierTree

extends ClassifierTree

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

Author:

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

See Also:

Serialized Form

Fields inherited from class weka.classifiers.j48.ClassifierTree

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

Constructor Summary

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

Method Summary

void	buildClassifier(Instances data) Method for building a pruneable classifier tree.
protected ClassifierTree	getNewTree(Instances train, Instances test) Returns a newly created tree.
void	prune() Prunes a tree.

Methods inherited from class weka.classifiers.j48.ClassifierTree

assignIDs, buildTree, buildTree, classifyInstance, cleanup, distributionForInstance, getNewTree, graph, nextID, numLeaves, numNodes, prefix, resetID, toSource, toString

Methods inherited from class java.lang.Object

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

Constructor Detail

PruneableClassifierTree

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

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

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:

data - and selection method for local models.