weka.classifiers.meta

Class FilteredClassifierUpdateable

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.SingleClassifierEnhancer

weka.classifiers.RandomizableSingleClassifierEnhancer

weka.classifiers.meta.FilteredClassifier

weka.classifiers.meta.FilteredClassifierUpdateable

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, weka.classifiers.Classifier, weka.classifiers.IterativeClassifier, UpdateableBatchProcessor, weka.classifiers.UpdateableClassifier, weka.core.BatchPredictor, weka.core.CapabilitiesHandler, weka.core.CapabilitiesIgnorer, weka.core.CommandlineRunnable, weka.core.Drawable, weka.core.OptionHandler, weka.core.PartitionGenerator, weka.core.Randomizable, weka.core.RevisionHandler, weka.core.WeightedAttributesHandler, weka.core.WeightedInstancesHandler

public class FilteredClassifierUpdateable
extends weka.classifiers.meta.FilteredClassifier
implements weka.classifiers.UpdateableClassifier, UpdateableBatchProcessor

Class for running an arbitrary classifier on data that has been passed through an arbitrary filter. Like the classifier, the structure of the filter is based exclusively on the training data and test instances will be processed by the filter without changing their structure.
Incremental version: only takes incremental classifiers as base classifiers (i.e., they have to implement the weka.classifiers.UpdateableClassifier interface).

Valid options are:

 -F <filter specification>
  Full class name of filter to use, followed
  by filter options.
  eg: "weka.filters.unsupervised.attribute.Remove -V -R 1,2"
 

 -D
  If set, classifier is run in debug mode and
  may output additional info to the console
 

 -W
  Full name of base classifier.
  (default: weka.classifiers.bayes.NaiveBayesUpdateable)
 

 Options specific to classifier weka.classifiers.bayes.NaiveBayesUpdateable:
 

 -K
  Use kernel density estimator rather than normal
  distribution for numeric attributes
 

 -D
  Use supervised discretization to process numeric attributes
 

 -O
  Display model in old format (good when there are many classes)
 

Version:

$Revision: 11099 $

Author:

fracpete (fracpete at waikato dot ac dot nz)

See Also:

UpdateableClassifier, Serialized Form

Field Summary

Fields inherited from class weka.classifiers.AbstractClassifier

BATCH_SIZE_DEFAULT, NUM_DECIMAL_PLACES_DEFAULT

Fields inherited from interface weka.core.Drawable

BayesNet, Newick, NOT_DRAWABLE, TREE

Constructor Summary

Constructors

Constructor and Description
FilteredClassifierUpdateable() Default constructor.

Method Summary

Modifier and Type	Method and Description
void	batchFinished() Signal that the training data is finished (for now).
java.lang.String	getRevision() Returns the revision string.
java.lang.String	globalInfo() Returns a string describing this classifier.
static void	main(java.lang.String[] args) Main method for running this classifier.
void	setClassifier(weka.classifiers.Classifier value) Set the base learner.
void	updateClassifier(weka.core.Instance instance) Updates a classifier using the given instance.

Methods inherited from class weka.classifiers.meta.FilteredClassifier

batchSizeTipText, buildClassifier, distributionForInstance, distributionsForInstances, done, doNotCheckForModifiedClassAttributeTipText, filterTipText, generatePartition, getBatchSize, getCapabilities, getDoNotCheckForModifiedClassAttribute, getFilter, getMembershipValues, getOptions, getResume, graph, graphType, implementsMoreEfficientBatchPrediction, initializeClassifier, listOptions, next, numElements, resumeTipText, setBatchSize, setDoNotCheckForModifiedClassAttribute, setFilter, setOptions, setResume, toString

Methods inherited from class weka.classifiers.RandomizableSingleClassifierEnhancer

getSeed, seedTipText, setSeed

Methods inherited from class weka.classifiers.SingleClassifierEnhancer

classifierTipText, getClassifier, 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

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface weka.classifiers.Classifier

classifyInstance

Methods inherited from interface weka.core.OptionHandler

makeCopy

Constructor Detail

FilteredClassifierUpdateable

public FilteredClassifierUpdateable()

Default constructor.

Method Detail

globalInfo

public java.lang.String globalInfo()

Returns a string describing this classifier.

Overrides:

globalInfo in class weka.classifiers.meta.FilteredClassifier

Returns:

a description of the classifier suitable for displaying in the explorer/experimenter gui

setClassifier

public void setClassifier(weka.classifiers.Classifier value)

Set the base learner.

Overrides:

setClassifier in class weka.classifiers.SingleClassifierEnhancer

Parameters:

value - the classifier to use.

updateClassifier

public void updateClassifier(weka.core.Instance instance)
                      throws java.lang.Exception

Updates a classifier using the given instance.

Specified by:

updateClassifier in interface weka.classifiers.UpdateableClassifier

Parameters:

instance - the instance to included

Throws:

java.lang.Exception - if instance could not be incorporated successfully or not successfully filtered

getRevision

public java.lang.String getRevision()

Returns the revision string.

Specified by:

getRevision in interface weka.core.RevisionHandler

Overrides:

getRevision in class weka.classifiers.meta.FilteredClassifier

Returns:

the revision

main

public static void main(java.lang.String[] args)

Main method for running this classifier.

Parameters:

args - use -h for overview on parameters

batchFinished

public void batchFinished()
                   throws java.lang.Exception

Description copied from interface: UpdateableBatchProcessor

Signal that the training data is finished (for now).

Specified by:

batchFinished in interface UpdateableBatchProcessor

Throws:

java.lang.Exception - if a problem occurs