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Class weka.filters.unsupervised.instance.RemoveMisclassified

java.lang.Object
    |
    +----weka.filters.Filter
            |
            +----weka.filters.unsupervised.instance.RemoveMisclassified

public class RemoveMisclassified

extends Filter

implements UnsupervisedFilter, OptionHandler

Valid filter-specific options are:

-W classifier string
Full class name of classifier to use, followed by scheme options. (required)

-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 max iterations
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: 1.1 $

Author:

Richard Kirkby (rkirkby@cs.waikato.ac.nz)

Author:

Malcolm Ware (mfw4@cs.waikato.ac.nz)

RemoveMisclassified()

 

batchFinished()

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

classifierTipText()

Returns the tip text for this property

classIndexTipText()

Returns the tip text for this property

getClassifier()

Gets the classifier used by the filter.

getClassIndex()

Gets the attribute on which misclassifications are based.

getInvert()

Get whether selection is inverted.

getMaxIterations()

Gets the maximum number of cleansing iterations performed

getNumFolds()

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

getOptions()

Gets the current settings of the filter.

getThreshold()

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

globalInfo()

Returns a string describing this filter

invertTipText()

Returns the tip text for this property

listOptions()

Returns an enumeration describing the available options.

main(String[])

Main method for testing this class.

maxIterationsTipText()

Returns the tip text for this property

numFoldsTipText()

Returns the tip text for this property

setClassifier(Classifier)

Sets the classifier to classify instances with.

setClassIndex(int)

Sets the attribute on which misclassifications are based.

setInputFormat(Instances)

Sets the format of the input instances.

setInvert(boolean)

Set whether selection is inverted.

setMaxIterations(int)

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

setNumFolds(int)

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

setOptions(String[])

Parses the options for this object.

setThreshold(double)

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

thresholdTipText()

Returns the tip text for this property

public RemoveMisclassified()

public boolean setInputFormat(Instances instanceInfo) throws java.lang.Exception

          Sets the format of the input instances.

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

Overrides:

setInputFormat in class Filter

public boolean batchFinished() throws java.lang.Exception

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

Returns:

true if there are instances pending output

Throws:

java.lang.IllegalStateException - if no input structure has been defined

Overrides:

batchFinished in class Filter

public java.util.Enumeration listOptions()

          Returns an enumeration describing the available options.

Returns:

an enumeration of all the available options.

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

          Parses the options for this object. Valid options are:

-W classifier string
Full class name of classifier to use, followed by scheme options. (required)

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

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

Parameters:

options - the list of options as an array of strings

Throws:

java.lang.Exception - if an option is not supported

public java.lang.String[] getOptions()

          Gets the current settings of the filter.

Returns:

an array of strings suitable for passing to setOptions

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

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

public void setClassifier(Classifier classifier)

          Sets the classifier to classify instances with.

Parameters:

classifier - The classifier to be used (with its options set).

public Classifier getClassifier()

          Gets the classifier used by the filter.

Returns:

The classifier to be used.

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

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.

public int getClassIndex()

          Gets the attribute on which misclassifications are based.

Returns:

the class index.

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

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.

public int getNumFolds()

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

Returns:

the number of folds.

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

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.

public double getThreshold()

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

Returns:

the numeric threshold.

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

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.

public int getMaxIterations()

          Gets the maximum number of cleansing iterations performed

Returns:

the maximum number of iterations.

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

public void setInvert(boolean invert)

          Set whether selection is inverted.

Parameters:

invert - whether or not to invert selection.

public boolean getInvert()

          Get whether selection is inverted.

Returns:

whether or not selection is inverted.

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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