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.

Version:

$Revision: 8985 $

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 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.
Capabilities	getCapabilities() Returns default capabilities of the classifier 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, graph, graphType, 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 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

getCapabilities

public Capabilities getCapabilities()

Returns default capabilities of the classifier tree.

Specified by:

getCapabilities in interface CapabilitiesHandler

Overrides:

getCapabilities in class ClassifierTree

Returns:

the capabilities of this classifier tree

See Also:

Capabilities

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

getRevision

public java.lang.String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Overrides:

getRevision in class ClassifierTree

Returns:

the revision