weka.classifiers

Class ParallelMultipleClassifiersCombiner

java.lang.Object

weka.classifiers.AbstractClassifier

weka.classifiers.MultipleClassifiersCombiner

weka.classifiers.ParallelMultipleClassifiersCombiner

All Implemented Interfaces:

Serializable, Cloneable, Classifier, CapabilitiesHandler, OptionHandler, RevisionHandler

Direct Known Subclasses:

RandomizableParallelMultipleClassifiersCombiner

public abstract class ParallelMultipleClassifiersCombiner
extends MultipleClassifiersCombiner

Abstract utility class for handling settings common to meta classifiers that build an ensemble in parallel using multiple classifiers.

Version:

$Revision: 10141 $

Author:

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

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ParallelMultipleClassifiersCombiner()

Method Summary

Methods

Modifier and Type	Method and Description
void	buildClassifier(Instances data) Stump method for building the classifiers
int	getNumExecutionSlots() Get the number of execution slots (threads) to use for building the members of the ensemble.
String[]	getOptions() Gets the current settings of the classifier.
Enumeration<Option>	listOptions() Returns an enumeration describing the available options.
String	numExecutionSlotsTipText() Returns the tip text for this property
void	setNumExecutionSlots(int numSlots) Set the number of execution slots (threads) to use for building the members of the ensemble.
void	setOptions(String[] options) Parses a given list of options.

Methods inherited from class weka.classifiers.MultipleClassifiersCombiner

classifiersTipText, getCapabilities, getClassifier, getClassifiers, setClassifiers

Methods inherited from class weka.classifiers.AbstractClassifier

classifyInstance, debugTipText, distributionForInstance, doNotCheckCapabilitiesTipText, forName, getDebug, getDoNotCheckCapabilities, getRevision, makeCopies, makeCopy, runClassifier, setDebug, setDoNotCheckCapabilities

Methods inherited from class java.lang.Object

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

Constructor Detail

ParallelMultipleClassifiersCombiner

public ParallelMultipleClassifiersCombiner()

Method Detail

listOptions

public Enumeration<Option> listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface OptionHandler

Overrides:

listOptions in class MultipleClassifiersCombiner

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:

-Z num
Set the number of execution slots to use (default 1 - i.e. no parallelism).

Options after -- are passed to the designated classifier.

Specified by:

setOptions in interface OptionHandler

Overrides:

setOptions in class MultipleClassifiersCombiner

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 MultipleClassifiersCombiner

Returns:

an array of strings suitable for passing to setOptions

setNumExecutionSlots

public void setNumExecutionSlots(int numSlots)

Set the number of execution slots (threads) to use for building the members of the ensemble.

Parameters:

numSlots - the number of slots to use.

getNumExecutionSlots

public int getNumExecutionSlots()

Get the number of execution slots (threads) to use for building the members of the ensemble.

Returns:

the number of slots to use

numExecutionSlotsTipText

public String numExecutionSlotsTipText()

Returns the tip text for this property

Returns:

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

buildClassifier

public void buildClassifier(Instances data)
                     throws Exception

Stump method for building the classifiers

Parameters:

data - the training data to be used for generating the ensemble

Throws:

Exception - if the classifier could not be built successfully