netkit.classifiers.nonrelational
Class MetaMultiplicative

java.lang.Object
  netkit.classifiers.ClassifierImp
      netkit.classifiers.nonrelational.LocalMetaClassifier
          netkit.classifiers.nonrelational.MetaMultiplicative

All Implemented Interfaces:

Classifier, Configurable

public final class MetaMultiplicative
extends LocalMetaClassifier

a classifier that multiplies the predictions of one or more classifiers and returns a normalized distribution as its own estimate. See the superclass for configuration details.

Author:

Sofus A. Macskassy (sofmac@gmail.com)

Field Summary

Fields inherited from class netkit.classifiers.nonrelational.LocalMetaClassifier

lclassifiers

Fields inherited from class netkit.classifiers.ClassifierImp

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

Constructor Summary

MetaMultiplicative()

Method Summary

boolean	estimate(Node node, double[] result) Get the estimates from each of the underlying classifiers, multiply their respective predictions together and return a normalized distribution.
java.lang.String	getDescription()
java.lang.String	getName()
java.lang.String	getShortName()
void	induceModel(Graph graph, DataSplit split) Induce the model.
java.lang.String	toString()

Methods inherited from class netkit.classifiers.nonrelational.LocalMetaClassifier

configure, getClassifierNames, getDefaultConfiguration

Methods inherited from class netkit.classifiers.ClassifierImp

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

Methods inherited from class java.lang.Object

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

Constructor Detail

MetaMultiplicative

public MetaMultiplicative()

Method Detail

getShortName

public java.lang.String getShortName()

Returns:

'MetaMultiplicative'

getName

public java.lang.String getName()

Returns:

'MetaMultiplicative[COMMA-SEPARATED-LIST-OF-CLASSIFIERS]'

getDescription

public java.lang.String getDescription()

Returns:

a short description of this class functionality

induceModel

public void induceModel(Graph graph,
                        DataSplit split)

Induce the model. This calls the superclass.

Specified by:

induceModel in interface Classifier

Overrides:

induceModel in class LocalMetaClassifier

Parameters:

graph - Graph whose nodes are to be estimated

split - The split between training and test. Used to get the nodetype and class attribute.

See Also:

LocalMetaClassifier.induceModel(netkit.graph.Graph, netkit.classifiers.DataSplit)

estimate

public boolean estimate(Node node,
                        double[] result)

Get the estimates from each of the underlying classifiers, multiply their respective predictions together and return a normalized distribution.

Parameters:

node - The node to estimate class probabilities for

result - the double array containing the probability estimates that the node belongs to each of the possible class labels.

Returns:

the label estimate distribution of this classifier

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object