weka.classifiers.trees.j48
Class PruneableClassifierTree

java.lang.Object
  extended by weka.classifiers.trees.j48.ClassifierTree
      extended by 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: 5533 $
Author:
Eibe Frank ([email protected])
See Also:
Serialized Form

Field Summary
 
Fields inherited from interface weka.core.Drawable
BayesNet, Newick, NOT_DRAWABLE, TREE
 
Constructor Summary
PruneableClassifierTree(ModelSelection toSelectLocModel, boolean pruneTree, int num, boolean cleanup, int seed)
          Constructor for pruneable tree structure.
 
Method Summary
 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