Overview | Package | Class | Tree | Deprecated | Index | Help | Weka's home

PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD

## weka.attributeSelection
Class CfsSubsetEval

    java.lang.Object
      weka.attributeSelection.ASEvaluation
          weka.attributeSelection.CfsSubsetEval

All Implemented Interfaces:
  java.io.Serializable, SubsetEvaluator, CapabilitiesHandler, OptionHandler, RevisionHandler, TechnicalInformationHandler

    public class CfsSubsetEval

extends ASEvaluation
implements SubsetEvaluator, OptionHandler, TechnicalInformationHandler

CfsSubsetEval :
Evaluates the worth of a subset of attributes by considering the individual predictive ability of each feature along with the degree of redundancy between them.
Subsets of features that are highly correlated with the class while having low intercorrelation are preferred.
For more information see:
M. A. Hall (1998). Correlation-based Feature Subset Selection for Machine Learning. Hamilton, New Zealand.

BibTeX:

     @phdthesis{Hall1998,
        address = {Hamilton, New Zealand},
        author = {M. A. Hall},
        school = {University of Waikato},
        title = {Correlation-based Feature Subset Selection for Machine Learning},
        year = {1998}
     }

Valid options are:

     -M
      Treat missing values as a separate value.

     -L
      Don't include locally predictive attributes.

Version:
  $Revision: 6133 $
Author:
  Mark Hall (mhall@cs.waikato.ac.nz)
See Also:
  `Discretize`, Serialized Form

Constructor Summary
`CfsSubsetEval()` Constructor

Method Summary
`void` | `buildEvaluator(Instances data)` Generates a attribute evaluator.
`double` | `evaluateSubset(java.util.BitSet subset)` evaluates a subset of attributes
`Capabilities` | `getCapabilities()` Returns the capabilities of this evaluator.
`boolean` | `getLocallyPredictive()` Return true if including locally predictive attributes
`boolean` | `getMissingSeparate()` Return true is missing is treated as a separate value
`java.lang.String[]` | `getOptions()` Gets the current settings of CfsSubsetEval
`java.lang.String` | `getRevision()` Returns the revision string.
`TechnicalInformation` | `getTechnicalInformation()` Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
`java.lang.String` | `globalInfo()` Returns a string describing this attribute evaluator
`java.util.Enumeration` | `listOptions()` Returns an enumeration describing the available options.
`java.lang.String` | `locallyPredictiveTipText()` Returns the tip text for this property
`static void` | `main(java.lang.String[] args)` Main method for testing this class.
`java.lang.String` | `missingSeparateTipText()` Returns the tip text for this property
`int[]` | `postProcess(int[] attributeSet)` Calls locallyPredictive in order to include locally predictive attributes (if requested).
`void` | `setLocallyPredictive(boolean b)` Include locally predictive attributes
`void` | `setMissingSeparate(boolean b)` Treat missing as a separate value
`void` | `setOptions(java.lang.String[] options)` Parses and sets a given list of options.
`java.lang.String` | `toString()` returns a string describing CFS

Methods inherited from class weka.attributeSelection.ASEvaluation
`forName, makeCopies`

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

Constructor Detail

### CfsSubsetEval

    public CfsSubsetEval()

  Constructor

Method Detail

### globalInfo

    public java.lang.String globalInfo()

  Returns a string describing this attribute evaluator

  Returns:
    a description of the evaluator suitable for displaying in the explorer/experimenter gui

### getTechnicalInformation

    public TechnicalInformation getTechnicalInformation()

  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

  Specified by:
    `getTechnicalInformation` in interface `TechnicalInformationHandler`
  Returns:
    the technical information about this class

### listOptions

    public java.util.Enumeration listOptions()

  Returns an enumeration describing the available options.

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

### setOptions

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

  Parses and sets a given list of options.

  Valid options are:

       -M
        Treat missing values as a separate value.

       -L
        Don't include locally predictive attributes.

  Specified by:
    `setOptions` in interface `OptionHandler`
  Parameters:
    `options` - the list of options as an array of strings
  Throws:
    `java.lang.Exception` - if an option is not supported

### locallyPredictiveTipText

    public java.lang.String locallyPredictiveTipText()

  Returns the tip text for this property

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

### setLocallyPredictive

    public void setLocallyPredictive(boolean b)

  Include locally predictive attributes

  Parameters:
    `b` - true or false

### getLocallyPredictive

    public boolean getLocallyPredictive()

  Return true if including locally predictive attributes

  Returns:
    true if locally predictive attributes are to be used

### missingSeparateTipText

    public java.lang.String missingSeparateTipText()

  Returns the tip text for this property

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

### setMissingSeparate

    public void setMissingSeparate(boolean b)

  Treat missing as a separate value

  Parameters:
    `b` - true or false

### getMissingSeparate

    public boolean getMissingSeparate()

  Return true is missing is treated as a separate value

  Returns:
    true if missing is to be treated as a separate value

### getOptions

    public java.lang.String[] getOptions()

  Gets the current settings of CfsSubsetEval

  Specified by:
    `getOptions` in interface `OptionHandler`
  Returns:
    an array of strings suitable for passing to setOptions()

### getCapabilities

    public Capabilities getCapabilities()

  Returns the capabilities of this evaluator.

  Specified by:
    `getCapabilities` in interface `CapabilitiesHandler`
  Overrides:
    `getCapabilities` in class `ASEvaluation`
  Returns:
    the capabilities of this evaluator
  See Also:
    `Capabilities`

### buildEvaluator

    public void buildEvaluator(Instances data)
                        throws java.lang.Exception

  Generates a attribute evaluator. Has to initialize all fields of the evaluator that are not being set via options. CFS also discretises attributes (if necessary) and initializes the correlation matrix.

  Specified by:
    `buildEvaluator` in class `ASEvaluation`
  Parameters:
    `data` - set of instances serving as training data
  Throws:
    `java.lang.Exception` - if the evaluator has not been generated successfully

### evaluateSubset

    public double evaluateSubset(java.util.BitSet subset)
                          throws java.lang.Exception

  evaluates a subset of attributes

  Specified by:
    `evaluateSubset` in interface `SubsetEvaluator`
  Parameters:
    `subset` - a bitset representing the attribute subset to be evaluated
  Returns:
    the merit
  Throws:
    `java.lang.Exception` - if the subset could not be evaluated

### toString

    public java.lang.String toString()

  returns a string describing CFS

  Overrides:
    `toString` in class `java.lang.Object`
  Returns:
    the description as a string

### postProcess

    public int[] postProcess(int[] attributeSet)
                      throws java.lang.Exception

  Calls locallyPredictive in order to include locally predictive attributes (if requested).

  Overrides:
    `postProcess` in class `ASEvaluation`
  Parameters:
    `attributeSet` - the set of attributes found by the search
  Returns:
    a possibly ranked list of postprocessed attributes
  Throws:
    `java.lang.Exception` - if postprocessing fails for some reason

### getRevision

    public java.lang.String getRevision()

  Returns the revision string.

  Specified by:
    `getRevision` in interface `RevisionHandler`
  Overrides:
    `getRevision` in class `ASEvaluation`
  Returns:
    the revision

### main

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

  Main method for testing this class.

  Parameters:
    `args` - the options

Overview | Package | Class | Tree | Deprecated | Index | Help | Weka's home

PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD