Vote

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## weka.classifiers.meta
Class Vote

    java.lang.Object
      weka.classifiers.Classifier
          weka.classifiers.MultipleClassifiersCombiner
              weka.classifiers.RandomizableMultipleClassifiersCombiner
                  weka.classifiers.meta.Vote

All Implemented Interfaces:
  java.io.Serializable, java.lang.Cloneable, CapabilitiesHandler, OptionHandler, Randomizable, RevisionHandler, TechnicalInformationHandler

    public class Vote

extends RandomizableMultipleClassifiersCombiner
implements TechnicalInformationHandler

Class for combining classifiers. Different combinations of probability estimates for classification are available.
For more information see:
Ludmila I. Kuncheva (2004). Combining Pattern Classifiers: Methods and Algorithms. John Wiley and Sons, Inc..
J. Kittler, M. Hatef, Robert P.W. Duin, J. Matas (1998). On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(3):226-239.

Valid options are:

     -S <num>
      Random number seed.
      (default 1)

     -B <classifier specification>
      Full class name of classifier to include, followed
      by scheme options. May be specified multiple times.
      (default: "weka.classifiers.rules.ZeroR")

     -D
      If set, classifier is run in debug mode and
      may output additional info to the console

     -R <AVG|PROD|MAJ|MIN|MAX|MED>
      The combination rule to use
      (default: AVG)

BibTeX:

     @book{Kuncheva2004,
        author = {Ludmila I. Kuncheva},
        publisher = {John Wiley and Sons, Inc.},
        title = {Combining Pattern Classifiers: Methods and Algorithms},
        year = {2004}
     }

     @article{Kittler1998,
        author = {J. Kittler and M. Hatef and Robert P.W. Duin and J. Matas},
        journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
        number = {3},
        pages = {226-239},
        title = {On combining classifiers},
        volume = {20},
        year = {1998}
     }

Version:
  $Revision: 1.19 $
Author:
  Alexander K. Seewald (alex@seewald.at), Eibe Frank (eibe@cs.waikato.ac.nz), Roberto Perdisci (roberto.perdisci@gmail.com)
See Also:
  Serialized Form

Field Summary
`static int` | `AVERAGE_RULE` combination rule: Average of Probabilities
`static int` | `MAJORITY_VOTING_RULE` combination rule: Majority Voting (only nominal classes)
`static int` | `MAX_RULE` combination rule: Maximum Probability
`static int` | `MEDIAN_RULE` combination rule: Median Probability (only numeric class)
`static int` | `MIN_RULE` combination rule: Minimum Probability
`static int` | `PRODUCT_RULE` combination rule: Product of Probabilities (only nominal classes)
`static Tag[]` | `TAGS_RULES` combination rules

Constructor Summary
`Vote()`

Method Summary
`void` | `buildClassifier(Instances data)` Buildclassifier selects a classifier from the set of classifiers by minimising error on the training data.
`double` | `classifyInstance(Instance instance)` Classifies the given test instance.
`java.lang.String` | `combinationRuleTipText()` Returns the tip text for this property
`double[]` | `distributionForInstance(Instance instance)` Classifies a given instance using the selected combination rule.
`Capabilities` | `getCapabilities()` Returns default capabilities of the classifier.
`SelectedTag` | `getCombinationRule()` Gets the combination rule used
`java.lang.String[]` | `getOptions()` Gets the current settings of Vote.
`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 classifier
`java.util.Enumeration` | `listOptions()` Returns an enumeration describing the available options.
`static void` | `main(java.lang.String[] argv)` Main method for testing this class.
`void` | `setCombinationRule(SelectedTag newRule)` Sets the combination rule to use.
`void` | `setOptions(java.lang.String[] options)` Parses a given list of options.
`java.lang.String` | `toString()` Output a representation of this classifier

Methods inherited from class weka.classifiers.RandomizableMultipleClassifiersCombiner
`getSeed, seedTipText, setSeed`

Methods inherited from class weka.classifiers.MultipleClassifiersCombiner
`classifiersTipText, getClassifier, getClassifiers, setClassifiers`

Methods inherited from class weka.classifiers.Classifier
`debugTipText, forName, getDebug, makeCopies, makeCopy, setDebug`

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

Field Detail

### AVERAGE_RULE

    public static final int AVERAGE_RULE

  combination rule: Average of Probabilities

  See Also:
    Constant Field Values

### PRODUCT_RULE

    public static final int PRODUCT_RULE

  combination rule: Product of Probabilities (only nominal classes)

  See Also:
    Constant Field Values

### MAJORITY_VOTING_RULE

    public static final int MAJORITY_VOTING_RULE

  combination rule: Majority Voting (only nominal classes)

  See Also:
    Constant Field Values

### MIN_RULE

    public static final int MIN_RULE

  combination rule: Minimum Probability

  See Also:
    Constant Field Values

### MAX_RULE

    public static final int MAX_RULE

  combination rule: Maximum Probability

  See Also:
    Constant Field Values

### MEDIAN_RULE

    public static final int MEDIAN_RULE

  combination rule: Median Probability (only numeric class)

  See Also:
    Constant Field Values

### TAGS_RULES

    public static final Tag[] TAGS_RULES

  combination rules

Constructor Detail

### Vote

    public Vote()

Method Detail

### globalInfo

    public java.lang.String globalInfo()

  Returns a string describing classifier

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

### listOptions

    public java.util.Enumeration listOptions()

  Returns an enumeration describing the available options.

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

### getOptions

    public java.lang.String[] getOptions()

  Gets the current settings of Vote.

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

### setOptions

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

  Parses a given list of options.

  Valid options are:

       -S <num>
        Random number seed.
        (default 1)

       -B <classifier specification>
        Full class name of classifier to include, followed
        by scheme options. May be specified multiple times.
        (default: "weka.classifiers.rules.ZeroR")

       -D
        If set, classifier is run in debug mode and
        may output additional info to the console

       -R <AVG|PROD|MAJ|MIN|MAX|MED>
        The combination rule to use
        (default: AVG)

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

### 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

### getCapabilities

    public Capabilities getCapabilities()

  Returns default capabilities of the classifier.

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

### buildClassifier

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

  Buildclassifier selects a classifier from the set of classifiers by minimising error on the training data.

  Specified by:
    `buildClassifier` in class `Classifier`
  Parameters:
    `data` - the training data to be used for generating the boosted classifier.
  Throws:
    `java.lang.Exception` - if the classifier could not be built successfully

### classifyInstance

    public double classifyInstance(Instance instance)
                            throws java.lang.Exception

  Classifies the given test instance.

  Overrides:
    `classifyInstance` in class `Classifier`
  Parameters:
    `instance` - the instance to be classified
  Returns:
    the predicted most likely class for the instance or Instance.missingValue() if no prediction is made
  Throws:
    `java.lang.Exception` - if an error occurred during the prediction

### distributionForInstance

    public double[] distributionForInstance(Instance instance)
                                     throws java.lang.Exception

  Classifies a given instance using the selected combination rule.

  Overrides:
    `distributionForInstance` in class `Classifier`
  Parameters:
    `instance` - the instance to be classified
  Returns:
    the distribution
  Throws:
    `java.lang.Exception` - if instance could not be classified successfully

### combinationRuleTipText

    public java.lang.String combinationRuleTipText()

  Returns the tip text for this property

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

### getCombinationRule

    public SelectedTag getCombinationRule()

  Gets the combination rule used

  Returns:
    the combination rule used

### setCombinationRule

    public void setCombinationRule(SelectedTag newRule)

  Sets the combination rule to use. Values other than

  Parameters:
    `newRule` - the combination rule method to use

### toString

    public java.lang.String toString()

  Output a representation of this classifier

  Overrides:
    `toString` in class `java.lang.Object`
  Returns:
    a string representation of the classifier

### getRevision

    public java.lang.String getRevision()

  Returns the revision string.

  Specified by:
    `getRevision` in interface `RevisionHandler`
  Returns:
    the revision

### main

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

  Main method for testing this class.

  Parameters:
    `argv` - should contain the following arguments: -t training file [-T test file] [-c class index]

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