weka.classifiers

Class RandomizableParallelMultipleClassifiersCombiner

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.MultipleClassifiersCombiner

weka.classifiers.ParallelMultipleClassifiersCombiner

weka.classifiers.RandomizableParallelMultipleClassifiersCombiner

All Implemented Interfaces:

Serializable, Cloneable, Classifier, BatchPredictor, CapabilitiesHandler, CapabilitiesIgnorer, CommandlineRunnable, OptionHandler, Randomizable, RevisionHandler

Direct Known Subclasses:

Stacking

public abstract class RandomizableParallelMultipleClassifiersCombiner
extends ParallelMultipleClassifiersCombiner
implements Randomizable

Abstract utility class for handling settings common to meta classifiers that build an ensemble in parallel using multiple classifiers based on a given random number seed.

Version:

$Revision: 10141 $

Author:

Mark Hall (mhall{[at]}pentaho{[dot]}com)

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.classifiers.AbstractClassifier

BATCH_SIZE_DEFAULT, NUM_DECIMAL_PLACES_DEFAULT

Constructor Summary

Constructors

Constructor and Description
RandomizableParallelMultipleClassifiersCombiner()

Method Summary

Modifier and Type	Method and Description
String[]	getOptions() Gets the current settings of the classifier.
int	getSeed() Gets the seed for the random number generations
Enumeration<Option>	listOptions() Returns an enumeration describing the available options.
String	seedTipText() Returns the tip text for this property
void	setOptions(String[] options) Parses a given list of options.
void	setSeed(int seed) Set the seed for random number generation.

Methods inherited from class weka.classifiers.ParallelMultipleClassifiersCombiner

buildClassifier, getNumExecutionSlots, numExecutionSlotsTipText, setNumExecutionSlots

Methods inherited from class weka.classifiers.MultipleClassifiersCombiner

classifiersTipText, getCapabilities, getClassifier, getClassifiers, postExecution, preExecution, setClassifiers

Methods inherited from class weka.classifiers.AbstractClassifier

batchSizeTipText, classifyInstance, debugTipText, distributionForInstance, distributionsForInstances, doNotCheckCapabilitiesTipText, forName, getBatchSize, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, getRevision, implementsMoreEfficientBatchPrediction, makeCopies, makeCopy, numDecimalPlacesTipText, run, runClassifier, setBatchSize, setDebug, setDoNotCheckCapabilities, setNumDecimalPlaces

Methods inherited from class java.lang.Object

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

Constructor Detail

RandomizableParallelMultipleClassifiersCombiner

public RandomizableParallelMultipleClassifiersCombiner()

Method Detail

listOptions

public Enumeration<Option> listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface OptionHandler

Overrides:

listOptions in class ParallelMultipleClassifiersCombiner

Returns:

an enumeration of all the available options.

setOptions

public void setOptions(String[] options)
                throws Exception

Parses a given list of options. Valid options are:

-B classifierstring
Classifierstring should contain the full class name of a scheme included for selection followed by options to the classifier (required, option should be used once for each classifier).

-S num
Set the random number seed (default 1).

Specified by:

setOptions in interface OptionHandler

Overrides:

setOptions in class ParallelMultipleClassifiersCombiner

Parameters:

options - the list of options as an array of strings

Throws:

Exception - if an option is not supported

getOptions

public String[] getOptions()

Gets the current settings of the classifier.

Specified by:

getOptions in interface OptionHandler

Overrides:

getOptions in class ParallelMultipleClassifiersCombiner

Returns:

an array of strings suitable for passing to setOptions

seedTipText

public String seedTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

setSeed

public void setSeed(int seed)

Set the seed for random number generation.

Specified by:

setSeed in interface Randomizable

Parameters:

seed - the seed

getSeed

public int getSeed()

Gets the seed for the random number generations

Specified by:

getSeed in interface Randomizable

Returns:

the seed for the random number generation