Package adams.data.weka.evaluator

Class AbstractDatasetInstanceEvaluator

java.lang.Object

adams.core.logging.LoggingObject

adams.core.logging.CustomLoggingLevelObject

adams.core.option.AbstractOptionHandler

adams.data.weka.evaluator.AbstractInstanceEvaluator

adams.data.weka.evaluator.AbstractDatasetInstanceEvaluator

All Implemented Interfaces:

CleanUpHandler, Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, SizeOfHandler, Serializable

Direct Known Subclasses:

AbstractCrossvalidatedInstanceEvaluator

public abstract class AbstractDatasetInstanceEvaluator
extends AbstractInstanceEvaluator

Ancestor for evaluators that need a data set for initialization.

Version:

$Revision$

Author:

fracpete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected weka.core.Instances	m_Data	the data set to use for training and other bits.
protected double	m_Threshold	the percentage to the threshold.

Fields inherited from class adams.data.weka.evaluator.AbstractInstanceEvaluator

m_Initialized

Fields inherited from class adams.core.option.AbstractOptionHandler

m_OptionManager

Fields inherited from class adams.core.logging.LoggingObject

m_Logger, m_LoggingIsEnabled, m_LoggingLevel

Constructor Summary

Constructors

Constructor	Description
AbstractDatasetInstanceEvaluator()

Method Summary

Modifier and Type	Method	Description
void	cleanUp()	Cleans up data structures, frees up memory.
void	defineOptions()	Adds options to the internal list of options.
protected abstract String	findThreshold()	Finds the user-defined threshold and sets other internal variables accordingly.
weka.core.Instances	getData()	Returns the data to use for training and so forth.
double	getThreshold()	Returns the threshold.
protected void	reset()	Resets the scheme.
void	setData(weka.core.Instances value)	Sets the data set to use for training and so forth.
void	setThreshold(double value)	Sets the threshold.
protected String	setUp()	Performs necessary initializations before being able to evaluate.
protected weka.core.Instances[]	split(weka.core.Instances data, double percentage)	Splits the dataset into two separate ones, according to the specified percentage (0-1).
String	thresholdTipText()	Returns the tip text for this property.

Methods inherited from class adams.data.weka.evaluator.AbstractInstanceEvaluator

check, compareTo, destroy, doEvaluate, equals, evaluate, forCommandLine, forName, getEvaluators, shallowCopy, shallowCopy

Methods inherited from class adams.core.option.AbstractOptionHandler

cleanUpOptions, finishInit, getDefaultLoggingLevel, getOptionManager, globalInfo, initialize, loggingLevelTipText, newOptionManager, setLoggingLevel, toCommandLine, toString

Methods inherited from class adams.core.logging.LoggingObject

configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf

Methods inherited from class java.lang.Object

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

Methods inherited from interface adams.core.logging.LoggingLevelHandler

getLoggingLevel

Field Detail

m_Data

protected weka.core.Instances m_Data

the data set to use for training and other bits.

m_Threshold

protected double m_Threshold

the percentage to the threshold.

Constructor Detail

AbstractDatasetInstanceEvaluator

public AbstractDatasetInstanceEvaluator()

Method Detail

defineOptions

public void defineOptions()

Adds options to the internal list of options.

Specified by:

defineOptions in interface OptionHandler

Overrides:

defineOptions in class AbstractOptionHandler

reset

protected void reset()

Resets the scheme.

Overrides:

reset in class AbstractInstanceEvaluator

setData

public void setData(weka.core.Instances value)

Sets the data set to use for training and so forth.

Parameters:

value - the data set

getData

public weka.core.Instances getData()

Returns the data to use for training and so forth.

Returns:

the data set, can be null if not yet set

setThreshold

public void setThreshold(double value)

Sets the threshold.

Parameters:

value - the threshold (0-1)

getThreshold

public double getThreshold()

Returns the threshold.

Returns:

the threshold (0-1)

thresholdTipText

public String thresholdTipText()

Returns the tip text for this property.

Returns:

tip text for this property suitable for displaying in the GUI or for listing the options.

split

protected weka.core.Instances[] split(weka.core.Instances data,
                                      double percentage)

Splits the dataset into two separate ones, according to the specified percentage (0-1).

Parameters:

data - the data to split

percentage - the percentage of the split (0-1)

Returns:

the array with the two datasets generated

findThreshold

protected abstract String findThreshold()

Finds the user-defined threshold and sets other internal variables accordingly.

Returns:

null if everything OK, error message otherwise

setUp

protected String setUp()

Performs necessary initializations before being able to evaluate.

Overrides:

setUp in class AbstractInstanceEvaluator

Returns:

null if everything fine, error message otherwise

cleanUp

public void cleanUp()

Cleans up data structures, frees up memory.

Specified by:

cleanUp in interface CleanUpHandler

Overrides:

cleanUp in class AbstractInstanceEvaluator

See Also:

m_Data