weka.filters.supervised.instance
Class StratifiedRemoveFolds

java.lang.Object
  weka.filters.Filter
      weka.filters.supervised.instance.StratifiedRemoveFolds

All Implemented Interfaces:

Serializable, CapabilitiesHandler, OptionHandler, RevisionHandler, SupervisedFilter

public class StratifiedRemoveFolds
extends Filter
implements SupervisedFilter, OptionHandler

This filter takes a dataset and outputs a specified fold for cross validation. If you do not want the folds to be stratified use the unsupervised version.

Valid options are:

 -V
  Specifies if inverse of selection is to be output.
 

 -N <number of folds>
  Specifies number of folds dataset is split into. 
  (default 10)
 

 -F <fold>
  Specifies which fold is selected. (default 1)
 

 -S <seed>
  Specifies random number seed. (default 0, no randomizing)
 

Version:

$Revision: 8034 $

Author:

Eibe Frank (eibe@cs.waikato.ac.nz)

See Also:

Serialized Form

Constructor Summary

StratifiedRemoveFolds()

Method Summary

boolean	batchFinished() Signify that this batch of input to the filter is finished.
String	foldTipText() Returns the tip text for this property
Capabilities	getCapabilities() Returns the Capabilities of this filter.
int	getFold() Gets the fold which is selected.
boolean	getInvertSelection() Gets if selection is to be inverted.
int	getNumFolds() Gets the number of folds in which dataset is to be split into.
String[]	getOptions() Gets the current settings of the filter.
String	getRevision() Returns the revision string.
long	getSeed() Gets the random number seed used for shuffling the dataset.
String	globalInfo() Returns a string describing this filter
boolean	input(Instance instance) Input an instance for filtering.
String	invertSelectionTipText() Returns the tip text for this property
Enumeration	listOptions() Gets an enumeration describing the available options..
static void	main(String[] argv) Main method for testing this class.
String	numFoldsTipText() Returns the tip text for this property
String	seedTipText() Returns the tip text for this property
void	setFold(int fold) Selects a fold.
boolean	setInputFormat(Instances instanceInfo) Sets the format of the input instances.
void	setInvertSelection(boolean inverse) Sets if selection is to be inverted.
void	setNumFolds(int numFolds) Sets the number of folds the dataset is split into.
void	setOptions(String[] options) Parses a given list of options.
void	setSeed(long seed) Sets the random number seed for shuffling the dataset.

Methods inherited from class weka.filters.Filter

batchFilterFile, filterFile, getCapabilities, getOutputFormat, isFirstBatchDone, isNewBatch, isOutputFormatDefined, makeCopies, makeCopy, mayRemoveInstanceAfterFirstBatchDone, numPendingOutput, output, outputPeek, runFilter, toString, useFilter, wekaStaticWrapper

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

StratifiedRemoveFolds

public StratifiedRemoveFolds()

Method Detail

listOptions

public Enumeration listOptions()

Gets an enumeration describing the available options..

Specified by:

listOptions in interface OptionHandler

Returns:

an enumeration of all the available options.

setOptions

public void setOptions(String[] options)
                throws Exception

Parses a given list of options.

Valid options are:

 -V
  Specifies if inverse of selection is to be output.
 

 -N <number of folds>
  Specifies number of folds dataset is split into. 
  (default 10)
 

 -F <fold>
  Specifies which fold is selected. (default 1)
 

 -S <seed>
  Specifies random number seed. (default 0, no randomizing)
 

Specified by:

setOptions in interface OptionHandler

Parameters:

options - the list of options as an array of strings

Throws:

Exception - if an option is not supported

getOptions

public String[] getOptions()

Gets the current settings of the filter.

Specified by:

getOptions in interface OptionHandler

Returns:

an array of strings suitable for passing to setOptions

globalInfo

public String globalInfo()

Returns a string describing this filter

Returns:

a description of the filter suitable for displaying in the explorer/experimenter gui

invertSelectionTipText

public String invertSelectionTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

getInvertSelection

public boolean getInvertSelection()

Gets if selection is to be inverted.

Returns:

true if the selection is to be inverted

setInvertSelection

public void setInvertSelection(boolean inverse)

Sets if selection is to be inverted.

Parameters:

inverse - true if inversion is to be performed

numFoldsTipText

public String numFoldsTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

getNumFolds

public int getNumFolds()

Gets the number of folds in which dataset is to be split into.

Returns:

the number of folds the dataset is to be split into.

setNumFolds

public void setNumFolds(int numFolds)

Sets the number of folds the dataset is split into. If the number of folds is zero, it won't split it into folds.

Parameters:

numFolds - number of folds dataset is to be split into

Throws:

IllegalArgumentException - if number of folds is negative

foldTipText

public String foldTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

getFold

public int getFold()

Gets the fold which is selected.

Returns:

the fold which is selected

setFold

public void setFold(int fold)

Selects a fold.

Parameters:

fold - the fold to be selected.

Throws:

IllegalArgumentException - if fold's index is smaller than 1

seedTipText

public String seedTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

getSeed

public long getSeed()

Gets the random number seed used for shuffling the dataset.

Returns:

the random number seed

setSeed

public void setSeed(long seed)

Sets the random number seed for shuffling the dataset. If seed is negative, shuffling won't be performed.

Parameters:

seed - the random number seed

getCapabilities

public Capabilities getCapabilities()

Returns the Capabilities of this filter.

Specified by:

getCapabilities in interface CapabilitiesHandler

Overrides:

getCapabilities in class Filter

Returns:

the capabilities of this object

See Also:

Capabilities

setInputFormat

public boolean setInputFormat(Instances instanceInfo)
                       throws Exception

Sets the format of the input instances.

Overrides:

setInputFormat in class Filter

Parameters:

instanceInfo - an Instances object containing the input instance structure (any instances contained in the object are ignored - only the structure is required).

Returns:

true because outputFormat can be collected immediately

Throws:

Exception - if the input format can't be set successfully

input

public boolean input(Instance instance)

Input an instance for filtering. Filter requires all training instances be read before producing output.

Overrides:

input in class Filter

Parameters:

instance - the input instance

Returns:

true if the filtered instance may now be collected with output().

Throws:

IllegalStateException - if no input structure has been defined

batchFinished

public boolean batchFinished()

Signify that this batch of input to the filter is finished. Output() may now be called to retrieve the filtered instances.

Overrides:

batchFinished in class Filter

Returns:

true if there are instances pending output

Throws:

IllegalStateException - if no input structure has been defined

getRevision

public String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Overrides:

getRevision in class Filter

Returns:

the revision

main

public static void main(String[] argv)

Main method for testing this class.

Parameters:

argv - should contain arguments to the filter: use -h for help