net.sf.bddbddb.order
Class MyDiscretize

java.lang.Object
  weka.filters.Filter
      weka.filters.unsupervised.attribute.PotentialClassIgnorer
          weka.filters.unsupervised.attribute.Discretize
              net.sf.bddbddb.order.MyDiscretize

All Implemented Interfaces:

java.io.Serializable, weka.core.OptionHandler, weka.core.WeightedInstancesHandler, weka.filters.UnsupervisedFilter

public class MyDiscretize
extends weka.filters.unsupervised.attribute.Discretize

Discretizes numeric attributes using equal frequency binning where the number of bins is equal to the square root of the number of non-missing values.

Valid filter-specific options are:

-R col1,col2-col4,...
Specifies list of columns to Discretize. First and last are valid indexes. (default: first-last)

-V
Invert matching sense.

-D
Make binary nominal attributes.

Version:

$Revision: 531 $

Author:

Richard Kirkby (rkirkby@cs.waikato.ac.nz)

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.filters.unsupervised.attribute.Discretize

m_CutPoints, m_DefaultCols, m_DesiredWeightOfInstancesPerInterval, m_DiscretizeCols, m_FindNumBins, m_MakeBinary, m_NumBins, m_UseEqualFrequency

Fields inherited from class weka.filters.unsupervised.attribute.PotentialClassIgnorer

m_ClassIndex, m_IgnoreClass

Fields inherited from class weka.filters.Filter

m_NewBatch

Constructor Summary

MyDiscretize()

MyDiscretize(double p)

Method Summary

java.lang.String	binsTipText() Returns the tip text for this property
protected void	findNumBins(int index) Finds the number of bins to use and creates the cut points.
java.lang.String	findNumBinsTipText() Returns the tip text for this property
int	getBins() Ignored
boolean	getFindNumBins() Get the value of FindNumBins.
java.lang.String[]	getOptions() Gets the current settings of the filter.
boolean	getUseEqualFrequency() Get the value of UseEqualFrequency.
java.lang.String	globalInfo() Returns a string describing this filter
java.util.Enumeration	listOptions() Gets an enumeration describing the available options.
static void	main(java.lang.String[] argv) Main method for testing this class.
void	setBins(int numBins) Ignored
void	setFindNumBins(boolean newFindNumBins) Set the value of FindNumBins.
boolean	setInputFormat(weka.core.Instances instanceInfo) Sets the format of the input instances.
void	setOptions(java.lang.String[] options) Parses the options for this object.
void	setUseEqualFrequency(boolean newUseEqualFrequency) Set the value of UseEqualFrequency.
java.lang.String	useEqualFrequencyTipText() Returns the tip text for this property

Methods inherited from class weka.filters.unsupervised.attribute.Discretize

attributeIndicesTipText, batchFinished, calculateCutPoints, calculateCutPointsByEqualFrequencyBinning, calculateCutPointsByEqualWidthBinning, convertInstance, desiredWeightOfInstancesPerIntervalTipText, getAttributeIndices, getCutPoints, getDesiredWeightOfInstancesPerInterval, getInvertSelection, getMakeBinary, input, invertSelectionTipText, makeBinaryTipText, setAttributeIndices, setAttributeIndicesArray, setDesiredWeightOfInstancesPerInterval, setInvertSelection, setMakeBinary, setOutputFormat

Methods inherited from class weka.filters.unsupervised.attribute.PotentialClassIgnorer

getOutputFormat, setIgnoreClass

Methods inherited from class weka.filters.Filter

batchFilterFile, bufferInput, copyStringValues, copyStringValues, filterFile, flushInput, getInputFormat, getInputStringIndex, getOutputStringIndex, getStringIndices, inputFormat, inputFormatPeek, isOutputFormatDefined, numPendingOutput, output, outputFormat, outputFormatPeek, outputPeek, push, resetQueue, setOutputFormat, useFilter

Methods inherited from class java.lang.Object

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

Constructor Detail

MyDiscretize

public MyDiscretize()

MyDiscretize

public MyDiscretize(double p)

Method Detail

setInputFormat

public boolean setInputFormat(weka.core.Instances instanceInfo)
                       throws java.lang.Exception

Sets the format of the input instances.

Overrides:

setInputFormat in class weka.filters.unsupervised.attribute.Discretize

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 if the outputFormat may be collected immediately

Throws:

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

findNumBins

protected void findNumBins(int index)

Finds the number of bins to use and creates the cut points.

Overrides:

findNumBins in class weka.filters.unsupervised.attribute.Discretize

Parameters:

index - the attribute index

listOptions

public java.util.Enumeration listOptions()

Gets an enumeration describing the available options.

Specified by:

listOptions in interface weka.core.OptionHandler

Overrides:

listOptions in class weka.filters.unsupervised.attribute.Discretize

Returns:

an enumeration of all the available options.

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Parses the options for this object. Valid options are:

-R col1,col2-col4,...
Specifies list of columns to Discretize. First and last are valid indexes. (default none)

-V
Invert matching sense.

-D
Make binary nominal attributes.

Specified by:

setOptions in interface weka.core.OptionHandler

Overrides:

setOptions in class weka.filters.unsupervised.attribute.Discretize

Parameters:

options - the list of options as an array of strings

Throws:

java.lang.Exception - if an option is not supported

getOptions

public java.lang.String[] getOptions()

Gets the current settings of the filter.

Specified by:

getOptions in interface weka.core.OptionHandler

Overrides:

getOptions in class weka.filters.unsupervised.attribute.Discretize

Returns:

an array of strings suitable for passing to setOptions

globalInfo

public java.lang.String globalInfo()

Returns a string describing this filter

Overrides:

globalInfo in class weka.filters.unsupervised.attribute.Discretize

Returns:

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

findNumBinsTipText

public java.lang.String findNumBinsTipText()

Returns the tip text for this property

Overrides:

findNumBinsTipText in class weka.filters.unsupervised.attribute.Discretize

Returns:

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

getFindNumBins

public boolean getFindNumBins()

Get the value of FindNumBins.

Overrides:

getFindNumBins in class weka.filters.unsupervised.attribute.Discretize

Returns:

Value of FindNumBins.

setFindNumBins

public void setFindNumBins(boolean newFindNumBins)

Set the value of FindNumBins.

Overrides:

setFindNumBins in class weka.filters.unsupervised.attribute.Discretize

Parameters:

newFindNumBins - Value to assign to FindNumBins.

useEqualFrequencyTipText

public java.lang.String useEqualFrequencyTipText()

Returns the tip text for this property

Overrides:

useEqualFrequencyTipText in class weka.filters.unsupervised.attribute.Discretize

Returns:

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

getUseEqualFrequency

public boolean getUseEqualFrequency()

Get the value of UseEqualFrequency.

Overrides:

getUseEqualFrequency in class weka.filters.unsupervised.attribute.Discretize

Returns:

Value of UseEqualFrequency.

setUseEqualFrequency

public void setUseEqualFrequency(boolean newUseEqualFrequency)

Set the value of UseEqualFrequency.

Overrides:

setUseEqualFrequency in class weka.filters.unsupervised.attribute.Discretize

Parameters:

newUseEqualFrequency - Value to assign to UseEqualFrequency.

binsTipText

public java.lang.String binsTipText()

Returns the tip text for this property

Overrides:

binsTipText in class weka.filters.unsupervised.attribute.Discretize

Returns:

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

getBins

public int getBins()

Ignored

Overrides:

getBins in class weka.filters.unsupervised.attribute.Discretize

Returns:

the number of bins.

setBins

public void setBins(int numBins)

Ignored

Overrides:

setBins in class weka.filters.unsupervised.attribute.Discretize

Parameters:

numBins - the number of bins

main

public static void main(java.lang.String[] argv)

Main method for testing this class.

Parameters:

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