nz.ac.waikato.mcennis.rat.graph.algorithm.machinelearning
Class SVM

java.lang.Object
  nz.ac.waikato.mcennis.rat.graph.model.ModelShell
      nz.ac.waikato.mcennis.rat.graph.algorithm.machinelearning.SVM

All Implemented Interfaces:

java.io.Serializable, Component, Algorithm, Model

public class SVM
extends ModelShell
implements Algorithm

See Also:

Serialized Form

Field Summary

Fields inherited from class nz.ac.waikato.mcennis.rat.graph.model.ModelShell

listener

Constructor Summary

SVM()

Method Summary

protected void	addInstances(Graph g, weka.core.Instances dataSet, Actor artist, int skipCount, int positiveSkipCount)
protected weka.core.Instances	createDataSet(Actor[] artists)
protected void	evaluateClassifier(weka.classifiers.Classifier classifier, weka.core.Instances dataSet, Graph g, Actor toBePredicted)
void	execute(Graph g) execute the algorithm against the given graph
InputDescriptor[]	getInputType() The input type describes all the different kinds of graph objects that are utilized (and hence required) by this object.
OutputDescriptor[]	getOutputType() The output type describes all the different kinds of graph objects that are created during the execution of this algorithm.
Parameter[]	getParameter() List of all parameters this component accepts.
Parameter	getParameter(java.lang.String param) Returns the specific parameter identified by its key-name.
SettableParameter[]	getSettableParameter() Returns settable (i.e.
SettableParameter	getSettableParameter(java.lang.String param) Return the settable parameter namede by this key-name.
void	init(java.util.Properties map) Paramters are defined as follows: 'name' - name for this instance of this algorithm.

Methods inherited from class nz.ac.waikato.mcennis.rat.graph.model.ModelShell

addListener, fireChange

Methods inherited from class java.lang.Object

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

Methods inherited from interface nz.ac.waikato.mcennis.rat.graph.model.Model

addListener

Constructor Detail

SVM

public SVM()

Method Detail

getInputType

public InputDescriptor[] getInputType()

Description copied from interface: Component

The input type describes all the different kinds of graph objects that are utilized (and hence required) by this object. This result is only guaranteed to be fixed if structural parameters are not modified. This is an empty array if there is no input.

Specified by:

getInputType in interface Component

Returns:

InputDescriptor array for this component

See Also:

InputDescriptor

getOutputType

public OutputDescriptor[] getOutputType()

Description copied from interface: Component

The output type describes all the different kinds of graph objects that are created during the execution of this algorithm. The result is only guaranteed to be fixed if structural parameters are not modified. This is an empty array if there is no output.

Specified by:

getOutputType in interface Component

Returns:

OutputDescriptor array for this component

See Also:

OutputDescriptor

getParameter

public Parameter[] getParameter()

Description copied from interface: Component

List of all parameters this component accepts. Each parameter also has a distinct key-name used when initializing the object using the init method. If there are no parameters, null is returned.

Specified by:

getParameter in interface Component

Returns:

read-only array of Parameters

getParameter

public Parameter getParameter(java.lang.String param)

Description copied from interface: Component

Returns the specific parameter identified by its key-name. If no parameter is found with this key-name, null is returned.

Specified by:

getParameter in interface Component

Parameters:

param - key-name of the parameter

Returns:

named parameter

getSettableParameter

public SettableParameter[] getSettableParameter()

Description copied from interface: Component

Returns settable (i.e. editable while running) parameters. If none exist, null is returned.

Specified by:

getSettableParameter in interface Component

Returns:

array of settable parameters

getSettableParameter

public SettableParameter getSettableParameter(java.lang.String param)

Description copied from interface: Component

Return the settable parameter namede by this key-name. If this parameter is not found or is not settable, null is returned.

Specified by:

getSettableParameter in interface Component

Parameters:

param - key-name of the parameter

Returns:

named settable parameter

init

public void init(java.util.Properties map)

Paramters are defined as follows:

1. 'name' - name for this instance of this algorithm. Default 'Weka Classifier'.
2. 'output' - directory where output is stored/ Default '/tmp/output'.
3. 'artistType' - type (mode) of actor representing total artists. Default 'Artist'.
4. 'groundTruthType'- type (relation) of link representing given musical tastes
5. 'sourceType1' - type (relation) of link describing interest links. Default 'Interest'.
6. 'sourceType2' - type (relation) of link describing music links. Default 'Music'.
7. 'equalizeInstanceCounts' - Boolean describing whether to balance number of positive and negative instances. Deafult 'true'.
8. 'userType' - type (mode) of actor representing the users consuming music. Default 'User'.
9. 'classifierType' - type of Weka classifier. Default is 'J48'.

Input 0 - Link
Input 1 - Link
Input 2 - Link
Input 3 - Actor

Specified by:

init in interface Component

Parameters:

map - map of the given properties naming parameters and their values in a string

execute

public void execute(Graph g)

Description copied from interface: Algorithm

execute the algorithm against the given graph

Specified by:

execute in interface Algorithm

Parameters:

g - graph to be modified

createDataSet

protected weka.core.Instances createDataSet(Actor[] artists)

addInstances

protected void addInstances(Graph g,
                            weka.core.Instances dataSet,
                            Actor artist,
                            int skipCount,
                            int positiveSkipCount)

evaluateClassifier

protected void evaluateClassifier(weka.classifiers.Classifier classifier,
                                  weka.core.Instances dataSet,
                                  Graph g,
                                  Actor toBePredicted)
                           throws java.lang.Exception

Throws:

java.lang.Exception