weka.classifiers
Class ParallelMultipleClassifiersCombiner

java.lang.Object
  extended by weka.classifiers.AbstractClassifier
      extended by weka.classifiers.MultipleClassifiersCombiner
          extended by weka.classifiers.ParallelMultipleClassifiersCombiner
All Implemented Interfaces:
java.io.Serializable, java.lang.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: 6041 $
Author:
Mark Hall (mhall{[at]}pentaho{[dot]}com)
See Also:
Serialized Form

Constructor Summary
ParallelMultipleClassifiersCombiner()
           
 
Method Summary
 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.
 java.lang.String[] getOptions()
          Gets the current settings of the classifier.
 java.util.Enumeration listOptions()
          Returns an enumeration describing the available options.
 java.lang.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(java.lang.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, forName, getDebug, getRevision, makeCopies, makeCopy, setDebug
 
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 java.util.Enumeration 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(java.lang.String[] options)
                throws java.lang.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:
java.lang.Exception - if an option is not supported

getOptions

public java.lang.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 java.lang.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 java.lang.Exception
Stump method for building the classifiers

Parameters:
data - the training data to be used for generating the ensemble
Throws:
java.lang.Exception - if the classifier could not be built successfully