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Class weka.classifiers.j48.ClassifierTree

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

public class ClassifierTree
extends java.lang.Object
implements Drawable, java.io.Serializable
Class for handling a tree structure used for classification.

Version:
$Revision: 1.12 $
Author:
Eibe Frank (eibe@cs.waikato.ac.nz)

Constructor Index

 o ClassifierTree(ModelSelection)
Constructor.

Method Index

 o assignIDs(int)
Assigns a uniqe id to every node in the tree.
 o buildClassifier(Instances)
Method for building a classifier tree.
 o buildTree(Instances, boolean)
Builds the tree structure.
 o buildTree(Instances, Instances, boolean)
Builds the tree structure with hold out set
 o classifyInstance(Instance)
Classifies an instance.
 o cleanup(Instances)
Cleanup in order to save memory.
 o distributionForInstance(Instance, boolean)
Returns class probabilities for a weighted instance.
 o graph()
Returns graph describing the tree.
 o numLeaves()
Returns number of leaves in tree structure.
 o numNodes()
Returns number of nodes in tree structure.
 o prefix()
Returns tree in prefix order.
 o toSource(String)
Returns source code for the tree as an if-then statement.
 o toString()
Prints tree structure.

Constructor Detail

 o ClassifierTree
public ClassifierTree(ModelSelection toSelectLocModel)
          Constructor.

Method Detail

 o buildClassifier
public void buildClassifier(Instances data) throws java.lang.Exception
          Method for building a classifier tree.
Throws:
java.lang.Exception - if something goes wrong
 o buildTree
public void buildTree(Instances data,
                      boolean keepData) throws java.lang.Exception
          Builds the tree structure.
Parameters:
data - the data for which the tree structure is to be generated.
keepData - is training data to be kept?
Throws:
java.lang.Exception - if something goes wrong
 o buildTree
public void buildTree(Instances train,
                      Instances test,
                      boolean keepData) throws java.lang.Exception
          Builds the tree structure with hold out set
Parameters:
train - the data for which the tree structure is to be generated.
test - the test data for potential pruning
keepData - is training Data to be kept?
Throws:
java.lang.Exception - if something goes wrong
 o classifyInstance
public double classifyInstance(Instance instance) throws java.lang.Exception
          Classifies an instance.
Throws:
java.lang.Exception - if something goes wrong
 o cleanup
public final void cleanup(Instances justHeaderInfo)
          Cleanup in order to save memory.
 o distributionForInstance
public final double[] distributionForInstance(Instance instance,
                                              boolean useLaplace) throws java.lang.Exception
          Returns class probabilities for a weighted instance.
Throws:
java.lang.Exception - if something goes wrong
 o assignIDs
public int assignIDs(int lastID)
          Assigns a uniqe id to every node in the tree.
 o graph
public java.lang.String graph() throws java.lang.Exception
          Returns graph describing the tree.
Throws:
java.lang.Exception - if something goes wrong
 o prefix
public java.lang.String prefix() throws java.lang.Exception
          Returns tree in prefix order.
Throws:
java.lang.Exception - if something goes wrong
 o toSource
public java.lang.StringBuffer[] toSource(java.lang.String className) throws java.lang.Exception
          Returns source code for the tree as an if-then statement. The class is assigned to variable "p", and assumes the tested instance is named "i". The results are returned as two stringbuffers: a section of code for assignment of the class, and a section of code containing support code (eg: other support methods).
Parameters:
className - the classname that this static classifier has
Returns:
an array containing two stringbuffers, the first string containing assignment code, and the second containing source for support code.
Throws:
java.lang.Exception - if something goes wrong
 o numLeaves
public int numLeaves()
          Returns number of leaves in tree structure.
 o numNodes
public int numNodes()
          Returns number of nodes in tree structure.
 o toString
public java.lang.String toString()
          Prints tree structure.
Overrides:
toString in class java.lang.Object

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