rdr.methods
Class MCRDR

java.lang.Object
  rdr.core.Classifier
      rdr.methods.MCRDR

All Implemented Interfaces:

java.io.Serializable

public class MCRDR
extends Classifier
implements java.io.Serializable

An implementation of the Multiple Classification Ripple Down Rules method. Uses NTreeNode. Based on specification by Kang.

Author:

Ivan Bindoff

See Also:

Serialized Form

Field Summary

NTreeNode	root
common.datastructures.MyFastVector<Case>	seenCases

Fields inherited from class rdr.core.Classifier

highestID, nodeIndex

Constructor Summary

MCRDR()

Method Summary

void	buildCornerstones(NTreeNode newNode) Checks the parent node's cornerstones to see if they're also cornerstones for this node Should only be called when the node is first added, otherwise use insertCornerstone to update as appropriate
common.datastructures.MyFastVector<Node>	classify(Case c) The default classify method.
common.datastructures.MyFastVector<Node>	classify(Case c, NTreeNode n) Perform an MCRDR inference to classify the case c
java.lang.String	getClassName()
common.datastructures.MyFastVector<Case>	getCornerstones(Rule newRule, NTreeNode parent) Fetch the cornerstone cases that would apply to a newRule being added as a child of parent
NTreeNode	getNode(int nodeID) Find a node based on a node ID
NTreeNode	getRoot()
boolean	insertNode(Case theCase, Node newNode, Node parentNode)
void	launchKAGUI(int mode, Case c) Launch the knowledge acquisition GUi which is designed for this classification method
void	launchKAGUI(int mode, Case c, int nodeEditing)
boolean	load()
boolean	save()
boolean	save(java.lang.String modelName) Saves the classifier including knowledge base to file - serialized.
void	updateSeenCases(Case c) Inserts the case c into the seen cases set only if it's not already in there.

Methods inherited from class rdr.core.Classifier

getNodeIndex, incrementID

Methods inherited from class java.lang.Object

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

Field Detail

seenCases

public common.datastructures.MyFastVector<Case> seenCases

root

public NTreeNode root

Constructor Detail

MCRDR

public MCRDR()

Method Detail

classify

public common.datastructures.MyFastVector<Node> classify(Case c)

The default classify method. Classifies case c from the root node.

Specified by:

classify in class Classifier

Parameters:

c - the case to classify

classify

public common.datastructures.MyFastVector<Node> classify(Case c,
                                                         NTreeNode n)

Perform an MCRDR inference to classify the case c

Parameters:

c - the case to classify

n - the node we're currently evaluating

Returns:

set of nodes which the case satisfies

load

public boolean load()

Specified by:

load in class Classifier

save

public boolean save()

Specified by:

save in class Classifier

save

public boolean save(java.lang.String modelName)

Saves the classifier including knowledge base to file - serialized.

Returns:

true if the file saves correctly

insertNode

public boolean insertNode(Case theCase,
                          Node newNode,
                          Node parentNode)

Specified by:

insertNode in class Classifier

launchKAGUI

public void launchKAGUI(int mode,
                        Case c,
                        int nodeEditing)

Specified by:

launchKAGUI in class Classifier

launchKAGUI

public void launchKAGUI(int mode,
                        Case c)

Launch the knowledge acquisition GUi which is designed for this classification method

Specified by:

launchKAGUI in class Classifier

Parameters:

mode - the mode code (i.e. ADD, EDIT, REMOVE)

c - the case that the rule is being created for

getNode

public NTreeNode getNode(int nodeID)

Find a node based on a node ID

Parameters:

nodeID - the node id

Returns:

the node

updateSeenCases

public void updateSeenCases(Case c)

Inserts the case c into the seen cases set only if it's not already in there.

Parameters:

c -

getClassName

public java.lang.String getClassName()

Specified by:

getClassName in class Classifier

Returns:

the name of this class as a string

getCornerstones

public common.datastructures.MyFastVector<Case> getCornerstones(Rule newRule,
                                                                NTreeNode parent)

Fetch the cornerstone cases that would apply to a newRule being added as a child of parent

Parameters:

newRule - the new rule

parent - the parent node

Returns:

set of cornerstone cases

buildCornerstones

public void buildCornerstones(NTreeNode newNode)

Checks the parent node's cornerstones to see if they're also cornerstones for this node Should only be called when the node is first added, otherwise use insertCornerstone to update as appropriate

Parameters:

newNode - the new node that needs to have its cornerstone cases built

getRoot

public NTreeNode getRoot()

Returns:

a reference to the root node