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: 5548 $
Author:: Richard Kirkby (rkirkby@cs.waikato.ac.nz), Malcolm Ware (mfw4@cs.waikato.ac.nz)
See Also:: Serialized Form

Constructor Summary

Constructors
Constructor Description

RemoveMisclassified()

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`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
    
    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

Class RemoveMisclassified

Constructor Summary

Method Summary

Methods inherited from class weka.filters.Filter

Methods inherited from class java.lang.Object

Constructor Detail

RemoveMisclassified

Method Detail

getCapabilities

setInputFormat

input

batchFinished

listOptions

setOptions

getOptions

globalInfo

classifierTipText

setClassifier

getClassifier

classIndexTipText

setClassIndex

getClassIndex

numFoldsTipText

setNumFolds

getNumFolds

thresholdTipText

setThreshold

getThreshold

maxIterationsTipText

setMaxIterations

getMaxIterations

invertTipText

setInvert

getInvert

getRevision

main