AddClassification

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## weka.filters.supervised.attribute
Class AddClassification

    java.lang.Object
      weka.filters.Filter
          weka.filters.SimpleFilter
              weka.filters.SimpleBatchFilter
                  weka.filters.supervised.attribute.AddClassification

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

    public class AddClassification

extends SimpleBatchFilter

A filter for adding the classification, the class distribution and an error flag to a dataset with a classifier. The classifier is either trained on the data itself or provided as serialized model.

Valid options are:

     -D
      Turns on output of debugging information.

     -W <classifier specification>
      Full class name of classifier to use, followed
      by scheme options. eg:
       "weka.classifiers.bayes.NaiveBayes -D"
      (default: weka.classifiers.rules.ZeroR)

     -serialized <file>
      Instead of training a classifier on the data, one can also provide
      a serialized model and use that for tagging the data.

     -classification
      Adds an attribute with the actual classification.
      (default: off)

     -remove-old-class
      Removes the old class attribute.
      (default: off)

     -distribution
      Adds attributes with the distribution for all classes
      (for numeric classes this will be identical to the attribute
      output with '-classification').
      (default: off)

     -error
      Adds an attribute indicating whether the classifier output
      a wrong classification (for numeric classes this is the numeric
      difference).
      (default: off)

Version:
  $Revision: 1.4 $
Author:
  fracpete (fracpete at waikato dot ac dot nz)
See Also:
  Serialized Form

Constructor Summary
`AddClassification()`

Method Summary
`java.lang.String` | `classifierTipText()` Returns the tip text for this property
`Capabilities` | `getCapabilities()` Returns the Capabilities of this filter.
`Classifier` | `getClassifier()` Gets the classifier used by the filter.
`java.lang.String[]` | `getOptions()` Gets the current settings of the classifier.
`boolean` | `getOutputClassification()` Get whether the classifiction of the classifier is output.
`boolean` | `getOutputDistribution()` Get whether the classifiction of the classifier is output.
`boolean` | `getOutputErrorFlag()` Get whether the classifiction of the classifier is output.
`boolean` | `getRemoveOldClass()` Get whether the old class attribute is removed.
`java.lang.String` | `getRevision()` Returns the revision string.
`java.io.File` | `getSerializedClassifierFile()` Gets the file pointing to a serialized, trained classifier.
`java.lang.String` | `globalInfo()` Returns a string describing this filter
`java.util.Enumeration` | `listOptions()` Returns an enumeration describing the available options.
`static void` | `main(java.lang.String[] args)` runs the filter with the given arguments
`java.lang.String` | `outputClassificationTipText()` Returns the tip text for this property
`java.lang.String` | `outputDistributionTipText()` Returns the tip text for this property
`java.lang.String` | `outputErrorFlagTipText()` Returns the tip text for this property
`java.lang.String` | `removeOldClassTipText()` Returns the tip text for this property
`java.lang.String` | `serializedClassifierFileTipText()` Returns the tip text for this property
`void` | `setClassifier(Classifier value)` Sets the classifier to classify instances with.
`void` | `setOptions(java.lang.String[] options)` Parses the options for this object.
`void` | `setOutputClassification(boolean value)` Set whether the classification of the classifier is output.
`void` | `setOutputDistribution(boolean value)` Set whether the Distribution of the classifier is output.
`void` | `setOutputErrorFlag(boolean value)` Set whether the classification of the classifier is output.
`void` | `setRemoveOldClass(boolean value)` Set whether the old class attribute is removed.
`void` | `setSerializedClassifierFile(java.io.File value)` Sets the file pointing to a serialized, trained classifier.

Methods inherited from class weka.filters.SimpleBatchFilter
`batchFinished, input`

Methods inherited from class weka.filters.SimpleFilter
`debugTipText, getDebug, setDebug, setInputFormat`

Methods inherited from class weka.filters.Filter
`batchFilterFile, filterFile, getCapabilities, getOutputFormat, 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

### AddClassification

    public AddClassification()

Method Detail

### globalInfo

    public java.lang.String globalInfo()

  Returns a string describing this filter

  Specified by:
    `globalInfo` in class `SimpleFilter`
  Returns:
    a description of the filter 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 `SimpleFilter`
  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:

       -D
        Turns on output of debugging information.

       -W <classifier specification>
        Full class name of classifier to use, followed
        by scheme options. eg:
         "weka.classifiers.bayes.NaiveBayes -D"
        (default: weka.classifiers.rules.ZeroR)

       -serialized <file>
        Instead of training a classifier on the data, one can also provide
        a serialized model and use that for tagging the data.

       -classification
        Adds an attribute with the actual classification.
        (default: off)

       -remove-old-class
        Removes the old class attribute.
        (default: off)

       -distribution
        Adds attributes with the distribution for all classes
        (for numeric classes this will be identical to the attribute
        output with '-classification').
        (default: off)

       -error
        Adds an attribute indicating whether the classifier output
        a wrong classification (for numeric classes this is the numeric
        difference).
        (default: off)

  Specified by:
    `setOptions` in interface `OptionHandler`
  Overrides:
    `setOptions` in class `SimpleFilter`
  Parameters:
    `options` - the options to use
  Throws:
    `java.lang.Exception` - if setting of options fails
  See Also:
    `SimpleFilter.reset()`

### getOptions

    public java.lang.String[] getOptions()

  Gets the current settings of the classifier.

  Specified by:
    `getOptions` in interface `OptionHandler`
  Overrides:
    `getOptions` in class `SimpleFilter`
  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`

### classifierTipText

    public java.lang.String classifierTipText()

  Returns the tip text for this property

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

### setClassifier

    public void setClassifier(Classifier value)

  Sets the classifier to classify instances with.

  Parameters:
    `value` - The classifier to be used (with its options set).

### getClassifier

    public Classifier getClassifier()

  Gets the classifier used by the filter.

  Returns:
    The classifier to be used.

### serializedClassifierFileTipText

    public java.lang.String serializedClassifierFileTipText()

  Returns the tip text for this property

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

### getSerializedClassifierFile

    public java.io.File getSerializedClassifierFile()

  Gets the file pointing to a serialized, trained classifier. If it is null or pointing to a directory it will not be used.

  Returns:
    the file the serialized, trained classifier is located in

### setSerializedClassifierFile

    public void setSerializedClassifierFile(java.io.File value)

  Sets the file pointing to a serialized, trained classifier. If the argument is null, doesn't exist or pointing to a directory, then the value is ignored.

  Parameters:
    `value` - the file pointing to the serialized, trained classifier

### outputClassificationTipText

    public java.lang.String outputClassificationTipText()

  Returns the tip text for this property

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

### getOutputClassification

    public boolean getOutputClassification()

  Get whether the classifiction of the classifier is output.

  Returns:
    true if the classification of the classifier is output.

### setOutputClassification

    public void setOutputClassification(boolean value)

  Set whether the classification of the classifier is output.

  Parameters:
    `value` - whether the classification of the classifier is output.

### removeOldClassTipText

    public java.lang.String removeOldClassTipText()

  Returns the tip text for this property

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

### getRemoveOldClass

    public boolean getRemoveOldClass()

  Get whether the old class attribute is removed.

  Returns:
    true if the old class attribute is removed.

### setRemoveOldClass

    public void setRemoveOldClass(boolean value)

  Set whether the old class attribute is removed.

  Parameters:
    `value` - whether the old class attribute is removed.

### outputDistributionTipText

    public java.lang.String outputDistributionTipText()

  Returns the tip text for this property

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

### getOutputDistribution

    public boolean getOutputDistribution()

  Get whether the classifiction of the classifier is output.

  Returns:
    true if the distribution of the classifier is output.

### setOutputDistribution

    public void setOutputDistribution(boolean value)

  Set whether the Distribution of the classifier is output.

  Parameters:
    `value` - whether the distribution of the classifier is output.

### outputErrorFlagTipText

    public java.lang.String outputErrorFlagTipText()

  Returns the tip text for this property

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

### getOutputErrorFlag

    public boolean getOutputErrorFlag()

  Get whether the classifiction of the classifier is output.

  Returns:
    true if the classification of the classifier is output.

### setOutputErrorFlag

    public void setOutputErrorFlag(boolean value)

  Set whether the classification of the classifier is output.

  Parameters:
    `value` - whether the classification of the classifier is output.

### getRevision

    public java.lang.String getRevision()

  Returns the revision string.

  Returns:
    the revision

### main

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

  runs the filter with the given arguments

  Parameters:
    `args` - the commandline arguments

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