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## weka.filters.unsupervised.attribute
Class Discretize

    java.lang.Object
      weka.filters.Filter
          weka.filters.unsupervised.attribute.PotentialClassIgnorer
              weka.filters.unsupervised.attribute.Discretize

All Implemented Interfaces:
  java.io.Serializable, CapabilitiesHandler, OptionHandler, RevisionHandler, WeightedInstancesHandler, UnsupervisedFilter

Direct Known Subclasses:
  PKIDiscretize

    public class Discretize

extends PotentialClassIgnorer
implements UnsupervisedFilter, WeightedInstancesHandler

An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes. Discretization is by simple binning. Skips the class attribute if set.

Valid options are:

     -unset-class-temporarily
      Unsets the class index temporarily before the filter is
      applied to the data.
      (default: no)

     -B <num>
      Specifies the (maximum) number of bins to divide numeric attributes into.
      (default = 10)

     -M <num>
      Specifies the desired weight of instances per bin for
      equal-frequency binning. If this is set to a positive
      number then the -B option will be ignored.
      (default = -1)

     -F
      Use equal-frequency instead of equal-width discretization.

     -O
      Optimize number of bins using leave-one-out estimate
      of estimated entropy (for equal-width discretization).
      If this is set then the -B option will be ignored.

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

     -V
      Invert matching sense of column indexes.

     -D
      Output binary attributes for discretized attributes.

Version:
  $Revision: 5987 $
Author:
  Len Trigg (trigg@cs.waikato.ac.nz), Eibe Frank (eibe@cs.waikato.ac.nz)
See Also:
  Serialized Form

Constructor Summary
`Discretize()` Constructor - initialises the filter
`Discretize(java.lang.String cols)` Another constructor, sets the attribute indices immediately

Method Summary
`java.lang.String` | `attributeIndicesTipText()` Returns the tip text for this property
`boolean` | `batchFinished()` Signifies that this batch of input to the filter is finished.
`java.lang.String` | `binsTipText()` Returns the tip text for this property
`java.lang.String` | `desiredWeightOfInstancesPerIntervalTipText()` Returns the tip text for this property
`java.lang.String` | `findNumBinsTipText()` Returns the tip text for this property
`java.lang.String` | `getAttributeIndices()` Gets the current range selection
`int` | `getBins()` Gets the number of bins numeric attributes will be divided into
`Capabilities` | `getCapabilities()` Returns the Capabilities of this filter.
`double[]` | `getCutPoints(int attributeIndex)` Gets the cut points for an attribute
`double` | `getDesiredWeightOfInstancesPerInterval()` Get the DesiredWeightOfInstancesPerInterval value.
`boolean` | `getFindNumBins()` Get the value of FindNumBins.
`boolean` | `getInvertSelection()` Gets whether the supplied columns are to be removed or kept
`boolean` | `getMakeBinary()` Gets whether binary attributes should be made for discretized ones.
`java.lang.String[]` | `getOptions()` Gets the current settings of the filter.
`java.lang.String` | `getRevision()` Returns the revision string.
`boolean` | `getUseEqualFrequency()` Get the value of UseEqualFrequency.
`java.lang.String` | `globalInfo()` Returns a string describing this filter
`boolean` | `input(Instance instance)` Input an instance for filtering.
`java.lang.String` | `invertSelectionTipText()` Returns the tip text for this property
`java.util.Enumeration` | `listOptions()` Gets an enumeration describing the available options.
`static void` | `main(java.lang.String[] argv)` Main method for testing this class.
`java.lang.String` | `makeBinaryTipText()` Returns the tip text for this property
`void` | `setAttributeIndices(java.lang.String rangeList)` Sets which attributes are to be Discretized (only numeric attributes among the selection will be Discretized).
`void` | `setAttributeIndicesArray(int[] attributes)` Sets which attributes are to be Discretized (only numeric attributes among the selection will be Discretized).
`void` | `setBins(int numBins)` Sets the number of bins to divide each selected numeric attribute into
`void` | `setDesiredWeightOfInstancesPerInterval(double newDesiredNumber)` Set the DesiredWeightOfInstancesPerInterval value.
`void` | `setFindNumBins(boolean newFindNumBins)` Set the value of FindNumBins.
`boolean` | `setInputFormat(Instances instanceInfo)` Sets the format of the input instances.
`void` | `setInvertSelection(boolean invert)` Sets whether selected columns should be removed or kept.
`void` | `setMakeBinary(boolean makeBinary)` Sets whether binary attributes should be made for discretized ones.
`void` | `setOptions(java.lang.String[] options)` Parses a given list of options.
`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.PotentialClassIgnorer
`getIgnoreClass, getOutputFormat, ignoreClassTipText, setIgnoreClass`

Methods inherited from class weka.filters.Filter
`batchFilterFile, filterFile, getCapabilities, isFirstBatchDone, isNewBatch, isOutputFormatDefined, makeCopies, makeCopy, numPendingOutput, output, outputPeek, toString, useFilter, wekaStaticWrapper`

Methods inherited from class java.lang.Object
`equals, getClass, hashCode, notify, notifyAll, wait, wait, wait`

Constructor Detail

### Discretize

    public Discretize()

  Constructor - initialises the filter

### Discretize

    public Discretize(java.lang.String cols)

  Another constructor, sets the attribute indices immediately

  Parameters:
    `cols` - the attribute indices

Method Detail

### listOptions

    public java.util.Enumeration listOptions()

  Gets an enumeration describing the available options.

  Specified by:
    `listOptions` in interface `OptionHandler`
  Overrides:
    `listOptions` in class `PotentialClassIgnorer`
  Returns:
    an enumeration of all the available options.

### setOptions

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

  Parses a given list of options.

  Valid options are:

       -unset-class-temporarily
        Unsets the class index temporarily before the filter is
        applied to the data.
        (default: no)

       -B <num>
        Specifies the (maximum) number of bins to divide numeric attributes into.
        (default = 10)

       -M <num>
        Specifies the desired weight of instances per bin for
        equal-frequency binning. If this is set to a positive
        number then the -B option will be ignored.
        (default = -1)

       -F
        Use equal-frequency instead of equal-width discretization.

       -O
        Optimize number of bins using leave-one-out estimate
        of estimated entropy (for equal-width discretization).
        If this is set then the -B option will be ignored.

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

       -V
        Invert matching sense of column indexes.

       -D
        Output binary attributes for discretized attributes.

  Specified by:
    `setOptions` in interface `OptionHandler`
  Overrides:
    `setOptions` in class `PotentialClassIgnorer`
  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 `OptionHandler`
  Overrides:
    `getOptions` in class `PotentialClassIgnorer`
  Returns:
    an array of strings suitable for passing to setOptions

### 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 java.lang.Exception

  Sets the format of the input instances.

  Overrides:
    `setInputFormat` in class `PotentialClassIgnorer`
  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

### input

    public boolean input(Instance instance)

  Input an instance for filtering. Ordinarily the instance is processed and made available for output immediately. Some filters require all 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:
    `java.lang.IllegalStateException` - if no input format has been defined.

### batchFinished

    public boolean batchFinished()

  Signifies that this batch of input to the filter is finished. If the filter requires all instances prior to filtering, output() may now be called to retrieve the filtered instances.

  Overrides:
    `batchFinished` in class `Filter`
  Returns:
    true if there are instances pending output
  Throws:
    `java.lang.IllegalStateException` - if no input structure has been defined

### globalInfo

    public java.lang.String globalInfo()

  Returns a string describing this filter

  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

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

### getFindNumBins

    public boolean getFindNumBins()

  Get the value of FindNumBins.

  Returns:
    Value of FindNumBins.

### setFindNumBins

    public void setFindNumBins(boolean newFindNumBins)

  Set the value of FindNumBins.

  Parameters:
    `newFindNumBins` - Value to assign to FindNumBins.

### makeBinaryTipText

    public java.lang.String makeBinaryTipText()

  Returns the tip text for this property

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

### getMakeBinary

    public boolean getMakeBinary()

  Gets whether binary attributes should be made for discretized ones.

  Returns:
    true if attributes will be binarized

### setMakeBinary

    public void setMakeBinary(boolean makeBinary)

  Sets whether binary attributes should be made for discretized ones.

  Parameters:
    `makeBinary` - if binary attributes are to be made

### desiredWeightOfInstancesPerIntervalTipText

    public java.lang.String desiredWeightOfInstancesPerIntervalTipText()

  Returns the tip text for this property

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

### getDesiredWeightOfInstancesPerInterval

    public double getDesiredWeightOfInstancesPerInterval()

  Get the DesiredWeightOfInstancesPerInterval value.

  Returns:
    the DesiredWeightOfInstancesPerInterval value.

### setDesiredWeightOfInstancesPerInterval

    public void setDesiredWeightOfInstancesPerInterval(double newDesiredNumber)

  Set the DesiredWeightOfInstancesPerInterval value.

  Parameters:
    `newDesiredNumber` - The new DesiredNumber value.

### useEqualFrequencyTipText

    public java.lang.String useEqualFrequencyTipText()

  Returns the tip text for this property

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

### getUseEqualFrequency

    public boolean getUseEqualFrequency()

  Get the value of UseEqualFrequency.

  Returns:
    Value of UseEqualFrequency.

### setUseEqualFrequency

    public void setUseEqualFrequency(boolean newUseEqualFrequency)

  Set the value of UseEqualFrequency.

  Parameters:
    `newUseEqualFrequency` - Value to assign to UseEqualFrequency.

### binsTipText

    public java.lang.String binsTipText()

  Returns the tip text for this property

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

### getBins

    public int getBins()

  Gets the number of bins numeric attributes will be divided into

  Returns:
    the number of bins.

### setBins

    public void setBins(int numBins)

  Sets the number of bins to divide each selected numeric attribute into

  Parameters:
    `numBins` - the number of bins

### invertSelectionTipText

    public java.lang.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 whether the supplied columns are to be removed or kept

  Returns:
    true if the supplied columns will be kept

### setInvertSelection

    public void setInvertSelection(boolean invert)

  Sets whether selected columns should be removed or kept. If true the selected columns are kept and unselected columns are deleted. If false selected columns are deleted and unselected columns are kept.

  Parameters:
    `invert` - the new invert setting

### attributeIndicesTipText

    public java.lang.String attributeIndicesTipText()

  Returns the tip text for this property

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

### getAttributeIndices

    public java.lang.String getAttributeIndices()

  Gets the current range selection

  Returns:
    a string containing a comma separated list of ranges

### setAttributeIndices

    public void setAttributeIndices(java.lang.String rangeList)

  Sets which attributes are to be Discretized (only numeric attributes among the selection will be Discretized).

  Parameters:
    `rangeList` - a string representing the list of attributes. Since the string will typically come from a user, attributes are indexed from 1.
    eg: first-3,5,6-last
  Throws:
    `java.lang.IllegalArgumentException` - if an invalid range list is supplied

### setAttributeIndicesArray

    public void setAttributeIndicesArray(int[] attributes)

  Sets which attributes are to be Discretized (only numeric attributes among the selection will be Discretized).

  Parameters:
    `attributes` - an array containing indexes of attributes to Discretize. Since the array will typically come from a program, attributes are indexed from 0.
  Throws:
    `java.lang.IllegalArgumentException` - if an invalid set of ranges is supplied

### getCutPoints

    public double[] getCutPoints(int attributeIndex)

  Gets the cut points for an attribute

  Parameters:
    `attributeIndex` - the index (from 0) of the attribute to get the cut points of
  Returns:
    an array containing the cutpoints (or null if the attribute requested has been discretized into only one interval.)

### getRevision

    public java.lang.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(java.lang.String[] argv)

  Main method for testing this class.

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

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