netkit.classifiers.relational
Class ProbRelationalNeighbor

java.lang.Object
  netkit.classifiers.ClassifierImp
      netkit.classifiers.relational.NetworkClassifierImp
          netkit.classifiers.relational.ProbRelationalNeighbor

All Implemented Interfaces:

Classifier, NetworkClassifier, Configurable

public final class ProbRelationalNeighbor
extends NetworkClassifierImp

This is a probablistic version of wbRN and it estimates nodes by using a Bayesian combination of the neighbors edges.

Author:

Sofus A. Macskassy (sofmac@gmail.com)

See Also:

WeightedVoteRelationalNeighbor

Nested Class Summary

Nested classes/interfaces inherited from class netkit.classifiers.relational.NetworkClassifierImp

NetworkClassifierImp.Aggregation

Field Summary

Fields inherited from class netkit.classifiers.relational.NetworkClassifierImp

aggFactory, aggregation, aggregators, aggTypes, dynamicAggregators, prior

Fields inherited from class netkit.classifiers.ClassifierImp

attribute, classPrior, clsIdx, graph, keyIndex, logger, nodeType, right, tmpVector, useIntrinsic, vectorClsIdx

Constructor Summary

ProbRelationalNeighbor()

Method Summary

void	configure(Configuration conf) This does not use the configuration.
boolean	doEstimate(Node node, double[] estimation) Estimate the label of this node by using a naive Bayesian combination of the neighbor nodes.
Configuration	getDefaultConfiguration() Default configuration for relational learners.
java.lang.String	getDescription()
java.lang.String	getName()
java.lang.String	getShortName()
java.lang.String	toString()

Methods inherited from class netkit.classifiers.relational.NetworkClassifierImp

classify, estimate, estimate, estimate, estimate, generateAggregators, getAttributeNames, includeClassAttribute, induceModel, initializeRun, makeVector

Methods inherited from class netkit.classifiers.ClassifierImp

addListener, classify, classify, clearListeners, estimate, estimate, getLogger, getNofifyListeners, notifyListeners, notifyListeners, removeListener, reset, setNofityListeners

Methods inherited from class java.lang.Object

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

Methods inherited from interface netkit.classifiers.Classifier

addListener, classify, classify, clearListeners, estimate, estimate, getLogger, getNofifyListeners, notifyListeners, notifyListeners, removeListener, reset, setNofityListeners

Constructor Detail

ProbRelationalNeighbor

public ProbRelationalNeighbor()

Method Detail

getShortName

public java.lang.String getShortName()

Returns:

"pRN"

getName

public java.lang.String getName()

Returns:

"Probablistic Relational Neighbor NetworkClassifier (pRN)"

getDescription

public java.lang.String getDescription()

getDefaultConfiguration

public Configuration getDefaultConfiguration()

Description copied from class: NetworkClassifierImp

Default configuration for relational learners. This sets aggregation to be only for the class attribute, to use intrinsic variables and to use the mode, ratio and mean aggregators.

These are also the configuration objects that are set in this instance. If a classifier needs more, then it should override this (remembering to call super.getDefaultConfiguration() if needed) to set other default configuration options.

Specified by:

getDefaultConfiguration in interface Configurable

Overrides:

getDefaultConfiguration in class NetworkClassifierImp

Returns:

an empty configuration

configure

public void configure(Configuration conf)

This does not use the configuration. It configures pRN to the only way it works: no intrinsics, no aggregation (because it uses its own aggregation rather than what the super class does), and it uses the 'ratio' aggregator although that is also ignored here.

Specified by:

configure in interface Configurable

Overrides:

configure in class NetworkClassifierImp

Parameters:

conf - ignored

See Also:

NetworkClassifierImp.aggregation

doEstimate

public boolean doEstimate(Node node,
                          double[] estimation)

Estimate the label of this node by using a naive Bayesian combination of the neighbor nodes.

Specified by:

doEstimate in class NetworkClassifierImp

Parameters:

node - The node whose label to estimate

estimation - Array to put the result of the estimate

Returns:

true

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object