weka.classifiers.trees.adtree
Class PredictionNode

java.lang.Object
  weka.classifiers.trees.adtree.PredictionNode

All Implemented Interfaces:

java.lang.Cloneable, java.io.Serializable

public final class PredictionNode

extends java.lang.Object

implements java.io.Serializable, java.lang.Cloneable

Class representing a prediction node in an alternating tree.

Version:

$Revision: 1.4 $

Author:

Richard Kirkby (rkirkby@cs.waikato.ac.nz)

See Also:

Serialized Form

Field Summary

private FastVector	children The children of this node - any number of splitter nodes
private double	value The prediction value stored in this node

Constructor Summary

PredictionNode(double newValue)
Creates a new prediction node.

Method Summary

void	addChild(Splitter newChild, ADTree addingTo) Adds a child to this node.
java.util.Enumeration	children() Enumerates the children of this node.
java.lang.Object	clone() Clones this node.
FastVector	getChildren() Gets the children of this node.
double	getValue() Gets the prediction value of the node.
void	merge(PredictionNode merger, ADTree mergingTo) Merges this node with another.
private void	setOrderAddedSubtree(Splitter addChild, ADTree addingTo) Sets the order added values of the subtree rooted at this splitter node.
void	setValue(double newValue) Sets the prediction value of the node.

Methods inherited from class java.lang.Object

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

Field Detail

value

private double value

The prediction value stored in this node

children

private FastVector children

The children of this node - any number of splitter nodes

Constructor Detail

PredictionNode

public PredictionNode(double newValue)

Creates a new prediction node.

Parameters:

newValue - the value that the node should store

Method Detail

setValue

public final void setValue(double newValue)

Sets the prediction value of the node.

Parameters:

newValue - the value that the node should store

getValue

public final double getValue()

Gets the prediction value of the node.

Returns:

the value stored in the node

getChildren

public final FastVector getChildren()

Gets the children of this node.

Returns:

a FastVector containing child Splitter object references

children

public final java.util.Enumeration children()

Enumerates the children of this node.

Returns:

an enumeration of child Splitter object references

addChild

public final void addChild(Splitter newChild,
                           ADTree addingTo)

Adds a child to this node. If possible will merge, and will perform a deep copy of the child tree.

Parameters:

newChild - the new child to add (will be cloned)

addingTo - the tree that this node belongs to

clone

public final java.lang.Object clone()

Clones this node. Performs a deep copy, recursing through the tree.

Returns:

a clone

merge

public final void merge(PredictionNode merger,
                        ADTree mergingTo)

Merges this node with another.

Parameters:

merger - the node that is merging with this node - will not be affected, will instead be cloned

mergingTo - the tree that this node belongs to

setOrderAddedSubtree

private final void setOrderAddedSubtree(Splitter addChild,
                                        ADTree addingTo)

Sets the order added values of the subtree rooted at this splitter node.

Parameters:

addChild - the root of the subtree

addingTo - the tree that this node will belong to