public class RemoveMisclassified extends Filter implements UnsupervisedFilter, OptionHandler
-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 |
|---|
RemoveMisclassified() |
| Modifier and Type | Method and 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<Option> |
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
|
batchFilterFile, debugTipText, doNotCheckCapabilitiesTipText, filterFile, getCapabilities, getDebug, getDoNotCheckCapabilities, getOutputFormat, isFirstBatchDone, isNewBatch, isOutputFormatDefined, makeCopies, makeCopy, mayRemoveInstanceAfterFirstBatchDone, numPendingOutput, output, outputPeek, postExecution, preExecution, run, runFilter, setDebug, setDoNotCheckCapabilities, toString, useFilter, wekaStaticWrapperpublic Capabilities getCapabilities()
getCapabilities in interface CapabilitiesHandlergetCapabilities in class FilterCapabilitiespublic boolean setInputFormat(Instances instanceInfo) throws java.lang.Exception
setInputFormat in class FilterinstanceInfo - 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 Filterinstance - 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 Filterjava.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 OptionHandlerlistOptions in class Filterpublic 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 OptionHandlersetOptions in class Filteroptions - the list of options as an array of stringsjava.lang.Exception - if an option is not supportedpublic java.lang.String[] getOptions()
getOptions in interface OptionHandlergetOptions in class Filterpublic 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 RevisionHandlergetRevision in class Filterpublic static void main(java.lang.String[] argv)
argv - should contain arguments to the filter: use -h for help