|
|||||||||
PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object | +--weka.classifiers.trees.j48.ClassifierTree | +--weka.classifiers.trees.j48.C45PruneableClassifierTree
Class for handling a tree structure that can be pruned using C4.5 procedures.
Field Summary |
Fields inherited from interface weka.core.Drawable |
BayesNet, NOT_DRAWABLE, TREE |
Constructor Summary | |
C45PruneableClassifierTree(ModelSelection toSelectLocModel,
boolean pruneTree,
float cf,
boolean raiseTree,
boolean cleanup)
Constructor for pruneable tree structure. |
Method Summary | |
void |
buildClassifier(Instances data)
Method for building a pruneable classifier tree. |
void |
collapse()
Collapses a tree to a node if training error doesn't increase. |
void |
prune()
Prunes a tree using C4.5's pruning procedure. |
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 |
public C45PruneableClassifierTree(ModelSelection toSelectLocModel, boolean pruneTree, float cf, boolean raiseTree, boolean cleanup) throws java.lang.Exception
toSelectLocModel
- selection method for local splitting modelpruneTree
- true if the tree is to be prunedcf
- the confidence factor for pruning
java.lang.Exception
- if something goes wrongMethod Detail |
public void buildClassifier(Instances data) throws java.lang.Exception
buildClassifier
in class ClassifierTree
java.lang.Exception
- if something goes wrongpublic final void collapse()
public void prune() throws java.lang.Exception
java.lang.Exception
- if something goes wrong
|
|||||||||
PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
Copyright (c) 2003 David Lindsay, Computer Learning Research Centre, Dept. Computer Science, Royal Holloway, University of London