weka.classifiers.trees.j48

Class NBTreeClassifierTree

java.lang.Object

weka.classifiers.trees.j48.ClassifierTree

weka.classifiers.trees.j48.NBTreeClassifierTree

All Implemented Interfaces:

java.io.Serializable, CapabilitiesHandler, Drawable, RevisionHandler

public class NBTreeClassifierTree
extends ClassifierTree

Class for handling a naive bayes tree structure used for classification.

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.classifiers.trees.j48.ClassifierTree

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

Fields inherited from interface weka.core.Drawable

BayesNet, Newick, NOT_DRAWABLE, TREE

Constructor Summary

Constructors

Constructor and Description
NBTreeClassifierTree(ModelSelection toSelectLocModel)

Method Summary

Modifier and Type	Method and Description
void	buildClassifier(Instances data) Method for building a naive bayes classifier tree
protected ClassifierTree	getNewTree(Instances data) Returns a newly created tree.
protected ClassifierTree	getNewTree(Instances train, Instances test) Returns a newly created tree.
java.lang.String	getRevision() Returns the revision string.
java.lang.String	graph() Returns graph describing the tree.
java.lang.String	printLeafModels() Print the models at the leaves
java.lang.String	toString() Prints tree structure.

Methods inherited from class weka.classifiers.trees.j48.ClassifierTree

assignIDs, buildTree, buildTree, classifyInstance, cleanup, distributionForInstance, getCapabilities, getLocalModel, getMembershipValues, getSons, getTrainingData, graphType, isLeaf, nextID, numLeaves, numNodes, prefix, resetID, toSource

Methods inherited from class java.lang.Object

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

Constructor Detail

NBTreeClassifierTree

public NBTreeClassifierTree(ModelSelection toSelectLocModel)

Method Detail

buildClassifier

public void buildClassifier(Instances data)
                     throws java.lang.Exception

Method for building a naive bayes classifier tree

Overrides:

buildClassifier in class ClassifierTree

Parameters:

data - the data to build the tree from

Throws:

java.lang.Exception - if something goes wrong

getNewTree

protected ClassifierTree getNewTree(Instances data)
                             throws java.lang.Exception

Returns a newly created tree.

Overrides:

getNewTree in class ClassifierTree

Parameters:

data - the training data

Returns:

the generated tree

Throws:

java.lang.Exception - if something goes wrong

getNewTree

protected ClassifierTree getNewTree(Instances train,
                                    Instances test)
                             throws java.lang.Exception

Returns a newly created tree.

Overrides:

getNewTree in class ClassifierTree

Parameters:

train - the training data

test - the pruning data.

Returns:

the generated tree

Throws:

java.lang.Exception - if something goes wrong

printLeafModels

public java.lang.String printLeafModels()

Print the models at the leaves

Returns:

textual description of the leaf models

toString

public java.lang.String toString()

Prints tree structure.

Overrides:

toString in class ClassifierTree

Returns:

the tree structure

graph

public java.lang.String graph()
                       throws java.lang.Exception

Returns graph describing the tree.

Specified by:

graph in interface Drawable

Overrides:

graph in class ClassifierTree

Returns:

the tree as graph

Throws:

java.lang.Exception - if something goes wrong

getRevision

public java.lang.String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Overrides:

getRevision in class ClassifierTree

Returns:

the revision