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

Class FromPredictions

java.lang.Object

adams.core.logging.LoggingObject

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

adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.AbstractClassifierEvaluation

adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.FromPredictions

All Implemented Interfaces:

adams.core.GlobalInfoSupporter, adams.core.logging.LoggingSupporter, adams.core.SizeOfHandler, adams.core.StatusMessageHandler, Serializable

public class FromPredictions
extends AbstractClassifierEvaluation

Loads predictions from a spreadsheet for evaluation.

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
static String	KEY_ACTUAL
static String	KEY_ADDITIONAL
static String	KEY_CLASSDISTRIBUTION
static String	KEY_FILE
static String	KEY_PREDICTED
static String	KEY_READER
static String	KEY_WEIGHT
protected FromPredictions	m_Model	the fake model.
protected adams.gui.chooser.SpreadSheetFileChooserPanel	m_PanelFile	the preditions file.
protected adams.gui.core.ParameterPanel	m_PanelParameters	the panel with the parameters.
protected adams.gui.core.IndexTextField	m_TextActual	the text with the actual column index.
protected adams.gui.core.RangeTextField	m_TextAdditional	the columns with the additional data to store.
protected adams.gui.core.RangeTextField	m_TextClassDistribution	the columns with the class distribution columns range.
protected adams.gui.core.IndexTextField	m_TextPredicted	the text with the predicted column index.
protected adams.gui.core.IndexTextField	m_TextWeight	the text with the weight column index.

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
FromPredictions()

Method Summary

Modifier and Type	Method	Description
void	activate(int index)	Activates the specified dataset.
String	canEvaluate(weka.classifiers.Classifier classifier)	Tests whether the classifier can be evaluated.
protected String	createFakeModel()	Creates the fake model.
void	deserialize(Map<String,Object> data, adams.core.MessageCollection errors)	Restores the objects.
protected void	doEvaluate(weka.classifiers.Classifier classifier, ResultItem item)	Evaluates the classifier 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.classifiers.Classifier classifier)	Initializes the result item.
protected void	initGUI()	Initializes the widgets.
protected void	initialize()	Initializes the members.
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.classifytab.evaluation.AbstractClassifierEvaluation

evaluate, fillWithAttributeNames, getEvaluations, transferAdditionalAttributes

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

addObjectSize, addToHistory, getOwner, getPanel, getProperties, getTestingUpdateInterval, 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_FILE

public static final String KEY_FILE

See Also:

Constant Field Values

KEY_READER

public static final String KEY_READER

See Also:

Constant Field Values

KEY_ACTUAL

public static final String KEY_ACTUAL

See Also:

Constant Field Values

KEY_PREDICTED

public static final String KEY_PREDICTED

See Also:

Constant Field Values

KEY_WEIGHT

public static final String KEY_WEIGHT

See Also:

Constant Field Values

KEY_CLASSDISTRIBUTION

public static final String KEY_CLASSDISTRIBUTION

See Also:

Constant Field Values

KEY_ADDITIONAL

public static final String KEY_ADDITIONAL

See Also:

Constant Field Values

m_PanelParameters

protected adams.gui.core.ParameterPanel m_PanelParameters

the panel with the parameters.

m_PanelFile

protected adams.gui.chooser.SpreadSheetFileChooserPanel m_PanelFile

the preditions file.

m_TextActual

protected adams.gui.core.IndexTextField m_TextActual

the text with the actual column index.

m_TextPredicted

protected adams.gui.core.IndexTextField m_TextPredicted

the text with the predicted column index.

m_TextWeight

protected adams.gui.core.IndexTextField m_TextWeight

the text with the weight column index.

m_TextClassDistribution

protected adams.gui.core.RangeTextField m_TextClassDistribution

the columns with the class distribution columns range.

m_TextAdditional

protected adams.gui.core.RangeTextField m_TextAdditional

the columns with the additional data to store.

m_Model

protected FromPredictions m_Model

the fake model.

Constructor Detail

FromPredictions

public FromPredictions()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing the object.

Returns:

a description suitable for displaying in the gui

initialize

protected void initialize()

Initializes the members.

Overrides:

initialize in class AbstractEvaluation<ClassifyTab,ResultItem>

initGUI

protected void initGUI()

Initializes the widgets.

Overrides:

initGUI in class AbstractEvaluation<ClassifyTab,ResultItem>

getName

public String getName()

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

Specified by:

getName in class AbstractEvaluation<ClassifyTab,ResultItem>

Returns:

the name

createFakeModel

protected String createFakeModel()

Creates the fake model.

Returns:

null if successfully loaded, otherwise error message

canEvaluate

public String canEvaluate(weka.classifiers.Classifier classifier)

Tests whether the classifier can be evaluated.

Specified by:

canEvaluate in class AbstractClassifierEvaluation

Returns:

null if successful, otherwise error message

init

public ResultItem init(weka.classifiers.Classifier classifier)
                throws Exception

Initializes the result item.

Specified by:

init in class AbstractClassifierEvaluation

Parameters:

classifier - the current classifier

Returns:

the initialized history item

Throws:

Exception - if initialization fails

doEvaluate

protected void doEvaluate(weka.classifiers.Classifier classifier,
                          ResultItem item)
                   throws Exception

Evaluates the classifier and updates the result item.

Specified by:

doEvaluate in class AbstractClassifierEvaluation

Parameters:

classifier - the current classifier

item - the item to update

Throws:

Exception - if evaluation fails

update

public void update()

Updates the settings panel.

Specified by:

update in class AbstractEvaluation<ClassifyTab,ResultItem>

activate

public void activate(int index)

Activates the specified dataset.

Specified by:

activate in class AbstractEvaluation<ClassifyTab,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<ClassifyTab,ResultItem>

Parameters:

options - what to serialize

Returns:

the mapping of the objects to serialize

deserialize

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

Restores the objects.

Overrides:

deserialize in class AbstractEvaluation<ClassifyTab,ResultItem>

Parameters:

data - the data to restore

errors - for storing errors