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

Class TrainTestSplit

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.TrainTestSplit

All Implemented Interfaces:

GlobalInfoSupporter, LoggingSupporter, SizeOfHandler, StatusMessageHandler, Serializable

public class TrainTestSplit
extends AbstractClustererEvaluation

Uses a (random) percentage split to generate train/test.

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_DATASET
static String	KEY_PERCENTAGE
static String	KEY_PRESERVEORDER
static String	KEY_SEED
static String	KEY_USEVIEWS
protected BaseCheckBox	m_CheckBoxPreserveOrder	whether to preserve the order.
protected BaseCheckBox	m_CheckBoxUseViews	whether to use views.
protected BaseComboBox<String>	m_ComboBoxDatasets	the datasets.
protected DefaultComboBoxModel<String>	m_ModelDatasets	the datasets model.
protected ParameterPanel	m_PanelParameters	the panel with the parameters.
protected NumberTextField	m_TextPercentage	the split percentage.
protected NumberTextField	m_TextSeed	the seed value.

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
TrainTestSplit()

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_DATASET

public static final String KEY_DATASET

See Also:

Constant Field Values

KEY_PERCENTAGE

public static final String KEY_PERCENTAGE

See Also:

Constant Field Values

KEY_SEED

public static final String KEY_SEED

See Also:

Constant Field Values

KEY_PRESERVEORDER

public static final String KEY_PRESERVEORDER

See Also:

Constant Field Values

KEY_USEVIEWS

public static final String KEY_USEVIEWS

See Also:

Constant Field Values

m_PanelParameters

protected ParameterPanel m_PanelParameters

the panel with the parameters.

m_ComboBoxDatasets

protected BaseComboBox<String> m_ComboBoxDatasets

the datasets.

m_ModelDatasets

protected DefaultComboBoxModel<String> m_ModelDatasets

the datasets model.

m_TextPercentage

protected NumberTextField m_TextPercentage

the split percentage.

m_CheckBoxPreserveOrder

protected BaseCheckBox m_CheckBoxPreserveOrder

whether to preserve the order.

m_TextSeed

protected NumberTextField m_TextSeed

the seed value.

m_CheckBoxUseViews

protected BaseCheckBox m_CheckBoxUseViews

whether to use views.

Constructor Detail

TrainTestSplit

public TrainTestSplit()

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