public class RemoveMisclassified extends Filter implements UnsupervisedFilter, OptionHandler, WeightedAttributesHandler, WeightedInstancesHandler
-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.
Constructor and Description |
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RemoveMisclassified() |
Modifier and Type | Method and Description |
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boolean |
batchFinished()
Signify that this batch of input to the filter is finished.
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java.lang.String |
classifierTipText()
Returns the tip text for this property
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java.lang.String |
classIndexTipText()
Returns the tip text for this property
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Capabilities |
getCapabilities()
Returns the Capabilities of this filter.
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Classifier |
getClassifier()
Gets the classifier used by the filter.
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int |
getClassIndex()
Gets the attribute on which misclassifications are based.
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boolean |
getInvert()
Get whether selection is inverted.
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int |
getMaxIterations()
Gets the maximum number of cleansing iterations performed
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int |
getNumFolds()
Gets the number of cross-validation folds used by the filter.
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java.lang.String[] |
getOptions()
Gets the current settings of the filter.
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java.lang.String |
getRevision()
Returns the revision string.
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double |
getThreshold()
Gets the threshold for the max error when predicting a numeric class.
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java.lang.String |
globalInfo()
Returns a string describing this filter
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boolean |
input(Instance instance)
Input an instance for filtering.
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java.lang.String |
invertTipText()
Returns the tip text for this property
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java.util.Enumeration<Option> |
listOptions()
Returns an enumeration describing the available options.
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static void |
main(java.lang.String[] argv)
Main method for testing this class.
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java.lang.String |
maxIterationsTipText()
Returns the tip text for this property
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java.lang.String |
numFoldsTipText()
Returns the tip text for this property
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void |
setClassifier(Classifier classifier)
Sets the classifier to classify instances with.
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void |
setClassIndex(int classIndex)
Sets the attribute on which misclassifications are based.
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boolean |
setInputFormat(Instances instanceInfo)
Sets the format of the input instances.
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void |
setInvert(boolean invert)
Set whether selection is inverted.
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void |
setMaxIterations(int iterations)
Sets the maximum number of cleansing iterations to perform - < 1 means
go until fully cleansed
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void |
setNumFolds(int numOfFolds)
Sets the number of cross-validation folds to use - < 2 means no
cross-validation.
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void |
setOptions(java.lang.String[] options)
Parses a given list of options.
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void |
setThreshold(double threshold)
Sets the threshold for the max error when predicting a numeric class.
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java.lang.String |
thresholdTipText()
Returns the tip text for this property
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batchFilterFile, debugTipText, doNotCheckCapabilitiesTipText, filterFile, getCapabilities, getCopyOfInputFormat, getDebug, getDoNotCheckCapabilities, getOutputFormat, isFirstBatchDone, isNewBatch, isOutputFormatDefined, makeCopies, makeCopy, mayRemoveInstanceAfterFirstBatchDone, numPendingOutput, output, outputPeek, postExecution, preExecution, run, runFilter, setDebug, setDoNotCheckCapabilities, toString, useFilter, wekaStaticWrapper
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
makeCopy
public Capabilities getCapabilities()
getCapabilities
in interface CapabilitiesHandler
getCapabilities
in class Filter
Capabilities
public boolean setInputFormat(Instances instanceInfo) throws java.lang.Exception
setInputFormat
in class Filter
instanceInfo
- an Instances object containing the input instance
structure (any instances contained in the object are ignored -
only the structure is required).java.lang.Exception
- if the inputFormat can't be set successfullypublic boolean input(Instance instance) throws java.lang.Exception
input
in class Filter
instance
- the input instancejava.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.public boolean batchFinished() throws java.lang.Exception
batchFinished
in class Filter
java.lang.IllegalStateException
- if no input structure has been definedjava.lang.NullPointerException
- if no input structure has been defined,java.lang.Exception
- if there was a problem finishing the batch.public java.util.Enumeration<Option> listOptions()
listOptions
in interface OptionHandler
listOptions
in class Filter
public void setOptions(java.lang.String[] options) throws java.lang.Exception
-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.
setOptions
in interface OptionHandler
setOptions
in class Filter
options
- the list of options as an array of stringsjava.lang.Exception
- if an option is not supportedpublic java.lang.String[] getOptions()
getOptions
in interface OptionHandler
getOptions
in class Filter
public java.lang.String globalInfo()
public java.lang.String classifierTipText()
public void setClassifier(Classifier classifier)
classifier
- The classifier to be used (with its options set).public Classifier getClassifier()
public java.lang.String classIndexTipText()
public void setClassIndex(int classIndex)
classIndex
- the class index.public int getClassIndex()
public java.lang.String numFoldsTipText()
public void setNumFolds(int numOfFolds)
numOfFolds
- the number of folds.public int getNumFolds()
public java.lang.String thresholdTipText()
public void setThreshold(double threshold)
threshold
- the numeric theshold.public double getThreshold()
public java.lang.String maxIterationsTipText()
public void setMaxIterations(int iterations)
iterations
- the maximum number of iterations.public int getMaxIterations()
public java.lang.String invertTipText()
public void setInvert(boolean invert)
invert
- whether or not to invert selection.public boolean getInvert()
public java.lang.String getRevision()
getRevision
in interface RevisionHandler
getRevision
in class Filter
public static void main(java.lang.String[] argv)
argv
- should contain arguments to the filter: use -h for help