Package weka.classifiers

Class GroupedRandomSplitGenerator

java.lang.Object

adams.core.logging.LoggingObject

adams.core.logging.CustomLoggingLevelObject

adams.core.option.AbstractOptionHandler

weka.classifiers.AbstractSplitGenerator

weka.classifiers.GroupedRandomSplitGenerator

All Implemented Interfaces:

Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, Randomizable, SizeOfHandler, RandomSplitGenerator<weka.core.Instances,WekaTrainTestSetContainer>, SplitGenerator<weka.core.Instances,WekaTrainTestSetContainer>, InstancesViewSupporter, Serializable, Iterator<WekaTrainTestSetContainer>, RandomSplitGenerator, SplitGenerator

public class GroupedRandomSplitGenerator
extends AbstractSplitGenerator
implements RandomSplitGenerator

Generates random splits of datasets, making sure that groups of instances stay together (identified via a regexp).

Author:

fracpete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected boolean	m_Generated	whether the split was generated.
protected RandomSplitGenerator	m_Generator	the underlying scheme for generating the split.
protected String	m_Group	the group expression.
protected WekaAttributeIndex	m_Index	the index to use for grouping.
protected double	m_Percentage	the percentage.
protected boolean	m_PreserveOrder	whether to preserve the order.
protected BaseRegExp	m_RegExp	the regular expression for the nominal/string attribute.

Fields inherited from class weka.classifiers.AbstractSplitGenerator

m_Data, m_Initialized, m_OriginalIndices, m_Seed, m_UseViews

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
GroupedRandomSplitGenerator()	Initializes the generator.
GroupedRandomSplitGenerator(weka.core.Instances data, long seed, double percentage, boolean preserveOrder, WekaAttributeIndex index, BaseRegExp regExp, String group)	Initializes the generator.

Method Summary

Modifier and Type	Method	Description
protected boolean	canRandomize()	Returns whether randomization is enabled.
protected boolean	checkNext()	Returns true if the iteration has more elements.
protected WekaTrainTestSetContainer	createNext()	Creates the next result.
void	defineOptions()	Adds options to the internal list of options.
protected void	doInitializeIterator()	Initializes the iterator, randomizes the data if required.
String	getGroup()	Returns the replacement string to use as group (eg '$2').
WekaAttributeIndex	getIndex()	Returns the attribute index to use for grouping.
double	getPercentage()	Returns the split percentage.
boolean	getPreserveOrder()	Returns whether to preserve the order.
BaseRegExp	getRegExp()	Returns the regular expression for identifying the group (eg '^(.*)-([0-9]+)-(.*)$').
String	globalInfo()	Returns a string describing the object.
String	groupTipText()	Returns the tip text for this property.
String	indexTipText()	Returns the tip text for this property.
String	percentageTipText()	Returns the tip text for this property.
String	preserveOrderTipText()	Returns the tip text for this property.
String	regExpTipText()	Returns the tip text for this property.
void	setGroup(String value)	Sets the replacement string to use as group (eg '$2').
void	setIndex(WekaAttributeIndex value)	Sets the attribute index to use for grouping.
void	setPercentage(double value)	Sets the split percentage.
void	setPreserveOrder(boolean value)	Sets whether to preserve the order.
void	setRegExp(BaseRegExp value)	Sets the regular expression for identifying the group (eg '^(.*)-([0-9]+)-(.*)$').
String	toString()	Returns a short description of the generator.

Methods inherited from class weka.classifiers.AbstractSplitGenerator

getData, getSeed, getUseViews, hasNext, initialize, initializeIterator, next, randomize, remove, reset, seedTipText, setData, setSeed, setUseViews, useViewsTipText

Methods inherited from class adams.core.option.AbstractOptionHandler

cleanUpOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, loggingLevelTipText, newOptionManager, setLoggingLevel, toCommandLine

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

Methods inherited from interface adams.core.Destroyable

destroy

Methods inherited from interface adams.data.weka.InstancesViewSupporter

getUseViews, setUseViews

Methods inherited from interface java.util.Iterator

forEachRemaining

Methods inherited from interface adams.core.logging.LoggingLevelHandler

getLoggingLevel

Methods inherited from interface adams.core.option.OptionHandler

cleanUpOptions, getOptionManager, toCommandLine

Methods inherited from interface adams.core.Randomizable

getSeed, seedTipText, setSeed

Methods inherited from interface weka.classifiers.SplitGenerator

getData, hasNext, initializeIterator, next, remove, setData

Field Detail

m_Percentage

protected double m_Percentage

the percentage.

m_PreserveOrder

protected boolean m_PreserveOrder

whether to preserve the order.

m_Generated

protected boolean m_Generated

whether the split was generated.

m_Index

protected WekaAttributeIndex m_Index

the index to use for grouping.

m_RegExp

protected BaseRegExp m_RegExp

the regular expression for the nominal/string attribute.

m_Group

protected String m_Group

the group expression.

m_Generator

protected RandomSplitGenerator m_Generator

the underlying scheme for generating the split.

Constructor Detail

GroupedRandomSplitGenerator

public GroupedRandomSplitGenerator()

Initializes the generator.

GroupedRandomSplitGenerator

public GroupedRandomSplitGenerator(weka.core.Instances data,
                                   long seed,
                                   double percentage,
                                   boolean preserveOrder,
                                   WekaAttributeIndex index,
                                   BaseRegExp regExp,
                                   String group)

Initializes the generator. Does not preserve the order.

Parameters:

data - the dataset to split

seed - the seed value to use for randomization

percentage - the percentage of the training set (0-1)

preserveOrder - whether to preserve the order

index - the attribute index

regExp - the regular expression to apply to the attribute values

group - the regexp group to use as group

Method Detail

globalInfo

public String globalInfo()

Returns a string describing the object.

Specified by:

globalInfo in interface GlobalInfoSupporter

Specified by:

globalInfo in class AbstractOptionHandler

Returns:

a description suitable for displaying in the gui

defineOptions

public void defineOptions()

Adds options to the internal list of options.

Specified by:

defineOptions in interface OptionHandler

Overrides:

defineOptions in class AbstractSplitGenerator

setPercentage

public void setPercentage(double value)

Sets the split percentage.

Specified by:

setPercentage in interface RandomSplitGenerator<weka.core.Instances,WekaTrainTestSetContainer>

Specified by:

setPercentage in interface RandomSplitGenerator

Parameters:

value - the percentage (0-1)

getPercentage

public double getPercentage()

Returns the split percentage.

Specified by:

getPercentage in interface RandomSplitGenerator<weka.core.Instances,WekaTrainTestSetContainer>

Specified by:

getPercentage in interface RandomSplitGenerator

Returns:

the percentage (0-1)

percentageTipText

public String percentageTipText()

Returns the tip text for this property.

Returns:

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

setPreserveOrder

public void setPreserveOrder(boolean value)

Sets whether to preserve the order.

Specified by:

setPreserveOrder in interface RandomSplitGenerator<weka.core.Instances,WekaTrainTestSetContainer>

Specified by:

setPreserveOrder in interface RandomSplitGenerator

Parameters:

value - true if to preserve order

getPreserveOrder

public boolean getPreserveOrder()

Returns whether to preserve the order.

Specified by:

getPreserveOrder in interface RandomSplitGenerator<weka.core.Instances,WekaTrainTestSetContainer>

Specified by:

getPreserveOrder in interface RandomSplitGenerator

Returns:

true if to preserve order

preserveOrderTipText

public String preserveOrderTipText()

Returns the tip text for this property.

Returns:

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

setIndex

public void setIndex(WekaAttributeIndex value)

Sets the attribute index to use for grouping.

Parameters:

value - the index

getIndex

public WekaAttributeIndex getIndex()

Returns the attribute index to use for grouping.

Returns:

the index

indexTipText

public String indexTipText()

Returns the tip text for this property.

Returns:

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

setRegExp

public void setRegExp(BaseRegExp value)

Sets the regular expression for identifying the group (eg '^(.*)-([0-9]+)-(.*)$').

Parameters:

value - the expression

getRegExp

public BaseRegExp getRegExp()

Returns the regular expression for identifying the group (eg '^(.*)-([0-9]+)-(.*)$').

Returns:

the expression

regExpTipText

public String regExpTipText()

Returns the tip text for this property.

Returns:

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

setGroup

public void setGroup(String value)

Sets the replacement string to use as group (eg '$2').

Parameters:

value - the group

getGroup

public String getGroup()

Returns the replacement string to use as group (eg '$2').

Returns:

the group

groupTipText

public String groupTipText()

Returns the tip text for this property.

Returns:

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

canRandomize

protected boolean canRandomize()

Returns whether randomization is enabled.

Specified by:

canRandomize in class AbstractSplitGenerator

Returns:

true if to randomize

doInitializeIterator

protected void doInitializeIterator()

Initializes the iterator, randomizes the data if required.

Specified by:

doInitializeIterator in class AbstractSplitGenerator

See Also:

AbstractSplitGenerator.canRandomize()

checkNext

protected boolean checkNext()

Returns true if the iteration has more elements. (In other words, returns true if next would return an element rather than throwing an exception.)

Specified by:

checkNext in class AbstractSplitGenerator

Returns:

true if the iterator has more elements.

createNext

protected WekaTrainTestSetContainer createNext()

Creates the next result.

Specified by:

createNext in class AbstractSplitGenerator

Returns:

the next result

toString

public String toString()

Returns a short description of the generator.

Specified by:

toString in interface SplitGenerator<weka.core.Instances,WekaTrainTestSetContainer>

Specified by:

toString in interface SplitGenerator

Overrides:

toString in class AbstractSplitGenerator

Returns:

a short description