meka.experiment.evaluators

Class PercentageSplit

java.lang.Object

meka.events.LogObject

meka.experiment.evaluators.AbstractEvaluator

meka.experiment.evaluators.PercentageSplit

All Implemented Interfaces:

Serializable, LogSupporter, Evaluator, weka.core.OptionHandler, weka.core.Randomizable

public class PercentageSplit
extends AbstractEvaluator
implements weka.core.Randomizable

Evaluates the classifier on a percentage split. Order can be preserved.

Version:

$Revision$

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected boolean	m_PreserveOrder whether to preserve the order.
protected int	m_Seed the seed value.
protected String	m_Threshold the threshold option.
protected double	m_TrainPercentage percentage to use for training.
protected String	m_Verbosity the verbosity option.

Fields inherited from class meka.experiment.evaluators.AbstractEvaluator

m_Stopped

Fields inherited from class meka.events.LogObject

m_Debug, m_LogListeners

Constructor Summary

Constructors

Constructor and Description
PercentageSplit()

Method Summary

Modifier and Type	Method and Description
List<EvaluationStatistics>	evaluate(MultiLabelClassifier classifier, weka.core.Instances dataset) Returns the evaluation statistics generated for the dataset.
protected int	getDefaultSeed() Gets the default seed for the random number generations
protected String	getDefaultThreshold() Gets the default threshold option.
protected double	getDefaultTrainPercentage() Gets the default percentage to use for training.
protected String	getDefaultVerbosity() Gets the default threshold option.
String[]	getOptions() Returns the options.
boolean	getPreserveOrder() Returns whether to preserve the order instead of randomizing the data.
int	getSeed() Gets the seed for the random number generations
String	getThreshold() Gets the threshold option.
double	getTrainPercentage() Gets the percentage to use for training.
String	getVerbosity() Gets the verbosity option.
String	globalInfo() Description to be displayed in the GUI.
Enumeration<weka.core.Option>	listOptions() Returns an enumeration of all the available options..
String	preserveOrderTipText() Describes this property.
String	seedTipText() Describes this property.
void	setOptions(String[] options) Sets the options.
void	setPreserveOrder(boolean value) Sets whether to preserve the order instead of randomizing the data.
void	setSeed(int value) Set the seed for random number generation.
void	setThreshold(String value) Set the threshold option.
void	setTrainPercentage(double value) Set the percentage to use for training.
void	setVerbosity(String value) Set the verbosity option.
String	thresholdTipText() Describes this property.
String	trainPercentageTipText() Describes this property.
String	verbosityTipText() Describes this property.

Methods inherited from class meka.experiment.evaluators.AbstractEvaluator

initialize, stop

Methods inherited from class meka.events.LogObject

addLogListener, debug, getLogListeners, handleException, log, removeLogListener

Methods inherited from class java.lang.Object

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

Methods inherited from interface meka.events.LogSupporter

addLogListener, log, removeLogListener

Field Detail

m_TrainPercentage

protected double m_TrainPercentage

percentage to use for training.

m_PreserveOrder

protected boolean m_PreserveOrder

whether to preserve the order.

m_Seed

protected int m_Seed

the seed value.

m_Threshold

protected String m_Threshold

the threshold option.

m_Verbosity

protected String m_Verbosity

the verbosity option.

Constructor Detail

PercentageSplit

public PercentageSplit()

Method Detail

globalInfo

public String globalInfo()

Description to be displayed in the GUI.

Specified by:

globalInfo in class AbstractEvaluator

Returns:

the description

getDefaultTrainPercentage

protected double getDefaultTrainPercentage()

Gets the default percentage to use for training.

Returns:

the defaut

setTrainPercentage

public void setTrainPercentage(double value)

Set the percentage to use for training.

Parameters:

value - the percentage (0-100)

getTrainPercentage

public double getTrainPercentage()

Gets the percentage to use for training.

Returns:

the percentage (0-100)

trainPercentageTipText

public String trainPercentageTipText()

Describes this property.

Returns:

the description

setPreserveOrder

public void setPreserveOrder(boolean value)

Sets whether to preserve the order instead of randomizing the data.

Parameters:

value - true if to preserve the order

getPreserveOrder

public boolean getPreserveOrder()

Returns whether to preserve the order instead of randomizing the data.

Returns:

true if to preserve the order

preserveOrderTipText

public String preserveOrderTipText()

Describes this property.

Returns:

the description

getDefaultSeed

protected int getDefaultSeed()

Gets the default seed for the random number generations

Returns:

the default

setSeed

public void setSeed(int value)

Set the seed for random number generation.

Specified by:

setSeed in interface weka.core.Randomizable

Parameters:

value - the seed

getSeed

public int getSeed()

Gets the seed for the random number generations

Specified by:

getSeed in interface weka.core.Randomizable

Returns:

the seed for the random number generation

seedTipText

public String seedTipText()

Describes this property.

Returns:

the description

getDefaultThreshold

protected String getDefaultThreshold()

Gets the default threshold option.

Returns:

the defaut

setThreshold

public void setThreshold(String value)

Set the threshold option.

Parameters:

value - the option

getThreshold

public String getThreshold()

Gets the threshold option.

Returns:

the option

thresholdTipText

public String thresholdTipText()

Describes this property.

Returns:

the description

getDefaultVerbosity

protected String getDefaultVerbosity()

Gets the default threshold option.

Returns:

the defaut

setVerbosity

public void setVerbosity(String value)

Set the verbosity option.

Parameters:

value - the option

getVerbosity

public String getVerbosity()

Gets the verbosity option.

Returns:

the option

verbosityTipText

public String verbosityTipText()

Describes this property.

Returns:

the description

listOptions

public Enumeration<weka.core.Option> listOptions()

Returns an enumeration of all the available options..

Specified by:

listOptions in interface weka.core.OptionHandler

Overrides:

listOptions in class AbstractEvaluator

Returns:

an enumeration of all available options.

setOptions

public void setOptions(String[] options)
                throws Exception

Sets the options.

Specified by:

setOptions in interface weka.core.OptionHandler

Overrides:

setOptions in class AbstractEvaluator

Parameters:

options - the options to parse

Throws:

Exception - if parsing fails

getOptions

public String[] getOptions()

Returns the options.

Specified by:

getOptions in interface weka.core.OptionHandler

Overrides:

getOptions in class AbstractEvaluator

Returns:

the current options

evaluate

public List<EvaluationStatistics> evaluate(MultiLabelClassifier classifier,
                                           weka.core.Instances dataset)

Returns the evaluation statistics generated for the dataset.

Specified by:

evaluate in interface Evaluator

Parameters:

classifier - the classifier to evaluate

dataset - the dataset to evaluate on

Returns:

the statistics