RemoveMisclassified

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## weka.filters.unsupervised.instance
Class RemoveMisclassified

    java.lang.Object
      weka.filters.Filter
          weka.filters.unsupervised.instance.RemoveMisclassified

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

    public class RemoveMisclassified

extends Filter
implements UnsupervisedFilter, OptionHandler

A filter that removes instances which are incorrectly classified. Useful for removing outliers.

Valid options are:

     -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)

     -C <class index>
      Attribute on which misclassifications are based.
      If < 0 will use any current set class or default to the last attribute.

     -F <number of folds>
      The number of folds to use for cross-validation cleansing.
      (<2 = no cross-validation - default).

     -T <threshold>
      Threshold for the max error when predicting numeric class.
      (Value should be >= 0, default = 0.1).

     -I
      The maximum number of cleansing iterations to perform.
      (<1 = until fully cleansed - default)

     -V
      Invert the match so that correctly classified instances are discarded.

Version:
  $Revision: 1.8 $
Author:
  Richard Kirkby (rkirkby@cs.waikato.ac.nz), Malcolm Ware (mfw4@cs.waikato.ac.nz)
See Also:
  Serialized Form

Constructor Summary
`RemoveMisclassified()`

Method Summary
`boolean` | `batchFinished()` Signify that this batch of input to the filter is finished.
`java.lang.String` | `classifierTipText()` Returns the tip text for this property
`java.lang.String` | `classIndexTipText()` Returns the tip text for this property
`Capabilities` | `getCapabilities()` Returns the Capabilities of this filter.
`Classifier` | `getClassifier()` Gets the classifier used by the filter.
`int` | `getClassIndex()` Gets the attribute on which misclassifications are based.
`boolean` | `getInvert()` Get whether selection is inverted.
`int` | `getMaxIterations()` Gets the maximum number of cleansing iterations performed
`int` | `getNumFolds()` Gets the number of cross-validation folds used by the filter.
`java.lang.String[]` | `getOptions()` Gets the current settings of the filter.
`java.lang.String` | `getRevision()` Returns the revision string.
`double` | `getThreshold()` Gets the threshold for the max error when predicting a numeric class.
`java.lang.String` | `globalInfo()` Returns a string describing this filter
`boolean` | `input(Instance instance)` Input an instance for filtering.
`java.lang.String` | `invertTipText()` Returns the tip text for this property
`java.util.Enumeration` | `listOptions()` Returns an enumeration describing the available options.
`static void` | `main(java.lang.String[] argv)` Main method for testing this class.
`java.lang.String` | `maxIterationsTipText()` Returns the tip text for this property
`java.lang.String` | `numFoldsTipText()` Returns the tip text for this property
`void` | `setClassifier(Classifier classifier)` Sets the classifier to classify instances with.
`void` | `setClassIndex(int classIndex)` Sets the attribute on which misclassifications are based.
`boolean` | `setInputFormat(Instances instanceInfo)` Sets the format of the input instances.
`void` | `setInvert(boolean invert)` Set whether selection is inverted.
`void` | `setMaxIterations(int iterations)` Sets the maximum number of cleansing iterations to perform - < 1 means go until fully cleansed
`void` | `setNumFolds(int numOfFolds)` Sets the number of cross-validation folds to use - < 2 means no cross-validation.
`void` | `setOptions(java.lang.String[] options)` Parses a given list of options.
`void` | `setThreshold(double threshold)` Sets the threshold for the max error when predicting a numeric class.
`java.lang.String` | `thresholdTipText()` Returns the tip text for this property

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

### RemoveMisclassified

    public RemoveMisclassified()

Method Detail

### 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 `Filter`
  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 inputFormat can't be set successfully

### input

    public boolean input(Instance instance)
                  throws java.lang.Exception

  Input an instance for filtering.

  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.NullPointerException` - if the input format has not been defined.
    `java.lang.Exception` - if the input instance was not of the correct format or if there was a problem with the filtering.

### batchFinished

    public boolean batchFinished()
                          throws java.lang.Exception

  Signify that this batch of input to the filter is finished.

  Overrides:
    `batchFinished` in class `Filter`
  Returns:
    true if there are instances pending output
  Throws:
    `java.lang.IllegalStateException` - if no input structure has been defined
    `java.lang.NullPointerException` - if no input structure has been defined,
    `java.lang.Exception` - if there was a problem finishing the batch.

### 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 a given list of options.

  Valid options are:

       -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)

       -C <class index>
        Attribute on which misclassifications are based.
        If < 0 will use any current set class or default to the last attribute.

       -F <number of folds>
        The number of folds to use for cross-validation cleansing.
        (<2 = no cross-validation - default).

       -T <threshold>
        Threshold for the max error when predicting numeric class.
        (Value should be >= 0, default = 0.1).

       -I
        The maximum number of cleansing iterations to perform.
        (<1 = until fully cleansed - default)

       -V
        Invert the match so that correctly classified instances are discarded.

  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

### getOptions

    public java.lang.String[] getOptions()

  Gets the current settings of the filter.

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

### 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

### 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 classifier)

  Sets the classifier to classify instances with.

  Parameters:
    `classifier` - 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.

### classIndexTipText

    public java.lang.String classIndexTipText()

  Returns the tip text for this property

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

### setClassIndex

    public void setClassIndex(int classIndex)

  Sets the attribute on which misclassifications are based. If < 0 will use any current set class or default to the last attribute.

  Parameters:
    `classIndex` - the class index.

### getClassIndex

    public int getClassIndex()

  Gets the attribute on which misclassifications are based.

  Returns:
    the class index.

### numFoldsTipText

    public java.lang.String numFoldsTipText()

  Returns the tip text for this property

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

### setNumFolds

    public void setNumFolds(int numOfFolds)

  Sets the number of cross-validation folds to use - < 2 means no cross-validation.

  Parameters:
    `numOfFolds` - the number of folds.

### getNumFolds

    public int getNumFolds()

  Gets the number of cross-validation folds used by the filter.

  Returns:
    the number of folds.

### thresholdTipText

    public java.lang.String thresholdTipText()

  Returns the tip text for this property

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

### setThreshold

    public void setThreshold(double threshold)

  Sets the threshold for the max error when predicting a numeric class. The value should be >= 0.

  Parameters:
    `threshold` - the numeric theshold.

### getThreshold

    public double getThreshold()

  Gets the threshold for the max error when predicting a numeric class.

  Returns:
    the numeric threshold.

### maxIterationsTipText

    public java.lang.String maxIterationsTipText()

  Returns the tip text for this property

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

### setMaxIterations

    public void setMaxIterations(int iterations)

  Sets the maximum number of cleansing iterations to perform - < 1 means go until fully cleansed

  Parameters:
    `iterations` - the maximum number of iterations.

### getMaxIterations

    public int getMaxIterations()

  Gets the maximum number of cleansing iterations performed

  Returns:
    the maximum number of iterations.

### invertTipText

    public java.lang.String invertTipText()

  Returns the tip text for this property

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

### setInvert

    public void setInvert(boolean invert)

  Set whether selection is inverted.

  Parameters:
    `invert` - whether or not to invert selection.

### getInvert

    public boolean getInvert()

  Get whether selection is inverted.

  Returns:
    whether or not selection is inverted.

### 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 arguments to the filter: use -h for help

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