meka.classifiers.multitarget.meta

Class FilteredClassifier

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

weka.classifiers.meta.FilteredClassifier

meka.classifiers.multilabel.meta.FilteredClassifier

meka.classifiers.multitarget.meta.FilteredClassifier

All Implemented Interfaces:

Serializable, Cloneable, MultiLabelClassifier, MultiTargetClassifier, weka.classifiers.Classifier, weka.classifiers.IterativeClassifier, weka.core.BatchPredictor, weka.core.CapabilitiesHandler, weka.core.CapabilitiesIgnorer, weka.core.CommandlineRunnable, weka.core.Drawable, weka.core.OptionHandler, weka.core.PartitionGenerator, weka.core.RevisionHandler

public class FilteredClassifier
extends FilteredClassifier
implements MultiTargetClassifier

Allows the application of a filter in conjunction with a multi-target classifier.

Version:

$Revision$

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.classifiers.meta.FilteredClassifier

m_DoNotCheckForModifiedClassAttribute, m_Filter, m_FilteredInstances

Fields inherited from class weka.classifiers.SingleClassifierEnhancer

m_Classifier

Fields inherited from class weka.classifiers.AbstractClassifier

BATCH_SIZE_DEFAULT, m_BatchSize, m_Debug, m_DoNotCheckCapabilities, m_numDecimalPlaces, NUM_DECIMAL_PLACES_DEFAULT

Fields inherited from interface weka.core.Drawable

BayesNet, Newick, NOT_DRAWABLE, TREE

Constructor Summary

Constructors

Constructor and Description
FilteredClassifier() Default constructor.

Method Summary

Modifier and Type	Method and Description
protected String	defaultClassifierString() String describing default classifier.
static void	main(String[] args)
void	setClassifier(weka.classifiers.Classifier newClassifier) Set the base learner.

Methods inherited from class meka.classifiers.multilabel.meta.FilteredClassifier

getModel, setUp, testCapabilities

Methods inherited from class weka.classifiers.meta.FilteredClassifier

batchSizeTipText, buildClassifier, defaultFilterString, distributionForInstance, distributionsForInstances, done, filterInstance, filterTipText, generatePartition, getBatchSize, getCapabilities, getFilter, getFilterSpec, getMembershipValues, getOptions, getRevision, globalInfo, graph, graphType, implementsMoreEfficientBatchPrediction, initializeClassifier, listOptions, next, numElements, setBatchSize, setDoNotCheckForModifiedClassAttribute, setFilter, setOptions, toString

Methods inherited from class weka.classifiers.SingleClassifierEnhancer

classifierTipText, defaultClassifierOptions, getClassifier, getClassifierSpec, postExecution, preExecution

Methods inherited from class weka.classifiers.AbstractClassifier

classifyInstance, debugTipText, doNotCheckCapabilitiesTipText, forName, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, makeCopies, makeCopy, numDecimalPlacesTipText, run, runClassifier, setDebug, setDoNotCheckCapabilities, setNumDecimalPlaces

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface meka.classifiers.multitarget.MultiTargetClassifier

debugTipText, getDebug, getModel, setDebug

Methods inherited from interface weka.classifiers.Classifier

buildClassifier, classifyInstance, distributionForInstance, getCapabilities

Methods inherited from interface weka.core.OptionHandler

getOptions, listOptions, setOptions

Methods inherited from interface meka.classifiers.multilabel.MultiLabelClassifier

debugTipText, getDebug, setDebug

Constructor Detail

FilteredClassifier

public FilteredClassifier()

Default constructor. Turns off check for modified class attribute.

Method Detail

defaultClassifierString

protected String defaultClassifierString()

String describing default classifier.

Overrides:

defaultClassifierString in class FilteredClassifier

setClassifier

public void setClassifier(weka.classifiers.Classifier newClassifier)

Set the base learner.

Overrides:

setClassifier in class FilteredClassifier

Parameters:

newClassifier - the classifier to use.

main

public static void main(String[] args)