netkit.classifiers.nonrelational
Class LocalWeka

java.lang.Object
  netkit.classifiers.ClassifierImp
      netkit.classifiers.nonrelational.LocalWeka

All Implemented Interfaces:

Classifier, Configurable

public final class LocalWeka
extends ClassifierImp

Weka wrapper that uses a specified weka classifier to do its predictions. This includes converting all attributes into the weka format. The classifier uses a Factory to read the weka.properties file to look up a named weka classifier.

The classifier itself uses two properties (specified in the lclassifier.properties file):

• classifier: the weka classifier (name should be defined in the weka.properties file.
• options: optional string that specifies the commandline options to pass to the weka classifier.

Author:

Sofus A. Macskassy (sofmac@gmail.com)

See Also:

netkit.classifiers.NetworkLearning.LC_PREFIX

Field Summary

Fields inherited from class netkit.classifiers.ClassifierImp

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

Constructor Summary

LocalWeka()

Method Summary

void	configure(Configuration config) Configure this classifier by getting the Weka classifier object using the classifier and options properties in addition to anything used by the superclass.
boolean	estimate(Node node, double[] result) Predict class labels for the given node.
java.lang.String	getDescription()
java.lang.String	getName()
java.lang.String	getShortName()
void	induceModel(Graph graph, DataSplit split) Induce the weka classifier by creating a training Instances object according to the schema of the nodes to be classified.
java.lang.String	toString()

Methods inherited from class netkit.classifiers.ClassifierImp

addListener, classify, classify, clearListeners, estimate, estimate, getAttributeNames, getDefaultConfiguration, 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

LocalWeka

public LocalWeka()

Method Detail

configure

public void configure(Configuration config)

Configure this classifier by getting the Weka classifier object using the classifier and options properties in addition to anything used by the superclass. The classifier property defines the weka classifier (this name should resolve to a real weka class name in the weka.properties file). The options property defines the options string to pass to the weka classifier.

Specified by:

configure in interface Configurable

Overrides:

configure in class ClassifierImp

Parameters:

config - The configuration object used to configure this classifier

getShortName

public java.lang.String getShortName()

Returns:

'LocalWeka(WEKA-LEARNER-NAME)'

getName

public java.lang.String getName()

Returns:

'LocalWeka(WEKA-LEARNER-NAME)[WEKA-FULLY-SPECIFIED-CLASSNAME]'

getDescription

public java.lang.String getDescription()

Returns:

'A Wrapper for a weka classifier using only intrinsic attributes'

induceModel

public void induceModel(Graph graph,
                        DataSplit split)

Induce the weka classifier by creating a training Instances object according to the schema of the nodes to be classified.

Specified by:

induceModel in interface Classifier

Overrides:

induceModel in class ClassifierImp

Parameters:

graph - Graph whose nodes are to be estimated

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

estimate

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

Predict class labels for the given node.

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:

true

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object