Package adams.gui.tools.wekainvestigator.tab.clustertab.evaluation

Class TrainTestSet

java.lang.Object

adams.core.logging.LoggingObject

adams.gui.tools.wekainvestigator.evaluation.AbstractEvaluation<ClusterTab,ResultItem>

adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.AbstractClustererEvaluation

adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.TrainTestSet

All Implemented Interfaces:

GlobalInfoSupporter, LoggingSupporter, SizeOfHandler, StatusMessageHandler, Serializable

public class TrainTestSet
extends AbstractClustererEvaluation

Uses dedicated train/test sets.

Version:

$Revision$

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
static String	KEY_TEST
static String	KEY_TRAIN
protected BaseComboBox<String>	m_ComboBoxTest	the test set.
protected BaseComboBox<String>	m_ComboBoxTrain	the train set.
protected DefaultComboBoxModel<String>	m_ModelDatasets	the datasets model.
protected ParameterPanel	m_PanelParameters	the panel with the parameters.

Fields inherited from class adams.gui.tools.wekainvestigator.evaluation.AbstractEvaluation

m_Owner, m_PanelOptions

Fields inherited from class adams.core.logging.LoggingObject

m_Logger, m_LoggingIsEnabled, m_LoggingLevel

Constructor Summary

Constructors

Constructor	Description
TrainTestSet()

Method Summary

Modifier and Type	Method	Description
void	activate(int index)	Activates the specified dataset.
String	canEvaluate(weka.clusterers.Clusterer clusterer)	Tests whether the clusterer can be evaluated.
void	deserialize(Map<String,Object> data, MessageCollection errors)	Restores the objects.
protected void	doEvaluate(weka.clusterers.Clusterer clusterer, ResultItem item)	Evaluates the clusterer and updates the result item.
String	getName()	Returns the name of the evaluation (displayed in combobox).
String	globalInfo()	Returns a string describing the object.
ResultItem	init(weka.clusterers.Clusterer clusterer)	Initializes the result item.
protected void	initGUI()	Initializes the widgets.
Map<String,Object>	serialize(Set<AbstractInvestigatorTab.SerializationOption> options)	Returns the objects for serialization.
void	update()	Updates the settings panel.

Methods inherited from class adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.AbstractClustererEvaluation

evaluate, getEvaluations

Methods inherited from class adams.gui.tools.wekainvestigator.evaluation.AbstractEvaluation

addObjectSize, addToHistory, getOwner, getPanel, getProperties, getTestingUpdateInterval, initialize, isValidDataIndex, listOrArray, setOwner, showStatus, toString

Methods inherited from class adams.core.logging.LoggingObject

configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf

Methods inherited from class java.lang.Object

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

Field Detail

KEY_TRAIN

public static final String KEY_TRAIN

See Also:

Constant Field Values

KEY_TEST

public static final String KEY_TEST

See Also:

Constant Field Values

m_PanelParameters

protected ParameterPanel m_PanelParameters

the panel with the parameters.

m_ComboBoxTrain

protected BaseComboBox<String> m_ComboBoxTrain

the train set.

m_ComboBoxTest

protected BaseComboBox<String> m_ComboBoxTest

the test set.

m_ModelDatasets

protected DefaultComboBoxModel<String> m_ModelDatasets

the datasets model.

Constructor Detail

TrainTestSet

public TrainTestSet()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing the object.

Returns:

a description suitable for displaying in the gui

initGUI

protected void initGUI()

Initializes the widgets.

Overrides:

initGUI in class AbstractEvaluation<ClusterTab,ResultItem>

getName

public String getName()

Returns the name of the evaluation (displayed in combobox).

Specified by:

getName in class AbstractEvaluation<ClusterTab,ResultItem>

Returns:

the name

canEvaluate

public String canEvaluate(weka.clusterers.Clusterer clusterer)

Tests whether the clusterer can be evaluated.

Specified by:

canEvaluate in class AbstractClustererEvaluation

Parameters:

clusterer - the current clusterer

Returns:

null if successful, otherwise error message

init

public ResultItem init(weka.clusterers.Clusterer clusterer)
                throws Exception

Initializes the result item.

Specified by:

init in class AbstractClustererEvaluation

Parameters:

clusterer - the current clusterer

Returns:

the initialized history item

Throws:

Exception - if initialization fails

doEvaluate

protected void doEvaluate(weka.clusterers.Clusterer clusterer,
                          ResultItem item)
                   throws Exception

Evaluates the clusterer and updates the result item.

Specified by:

doEvaluate in class AbstractClustererEvaluation

Parameters:

clusterer - the current clusterer

item - the item to update

Throws:

Exception - if evaluation fails

update

public void update()

Updates the settings panel.

Specified by:

update in class AbstractEvaluation<ClusterTab,ResultItem>

activate

public void activate(int index)

Activates the specified dataset.

Specified by:

activate in class AbstractEvaluation<ClusterTab,ResultItem>

Parameters:

index - the index of the dataset

serialize

public Map<String,Object> serialize(Set<AbstractInvestigatorTab.SerializationOption> options)

Returns the objects for serialization.

Overrides:

serialize in class AbstractEvaluation<ClusterTab,ResultItem>

Parameters:

options - what to serialize

Returns:

the mapping of the objects to serialize

deserialize

public void deserialize(Map<String,Object> data,
                        MessageCollection errors)

Restores the objects.

Overrides:

deserialize in class AbstractEvaluation<ClusterTab,ResultItem>

Parameters:

data - the data to restore

errors - for storing errors