weka.classifiers
Class RandomizableParallelMultipleClassifiersCombiner

java.lang.Object
  extended by weka.classifiers.AbstractClassifier
      extended by weka.classifiers.MultipleClassifiersCombiner
          extended by weka.classifiers.ParallelMultipleClassifiersCombiner
              extended by weka.classifiers.RandomizableParallelMultipleClassifiersCombiner
All Implemented Interfaces:
java.io.Serializable, java.lang.Cloneable, Classifier, CapabilitiesHandler, OptionHandler, RevisionHandler
Direct Known Subclasses:
Stacking

public abstract class RandomizableParallelMultipleClassifiersCombiner
extends ParallelMultipleClassifiersCombiner

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: 6041 $
Author:
Mark Hall (mhall{[at]}pentaho{[dot]}com)
See Also:
Serialized Form

Constructor Summary
RandomizableParallelMultipleClassifiersCombiner()
           
 
Method Summary
 java.lang.String[] getOptions()
          Gets the current settings of the classifier.
 int getSeed()
          Gets the seed for the random number generations
 java.util.Enumeration listOptions()
          Returns an enumeration describing the available options.
 java.lang.String seedTipText()
          Returns the tip text for this property
 void setOptions(java.lang.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, 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

RandomizableParallelMultipleClassifiersCombiner

public RandomizableParallelMultipleClassifiersCombiner()
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 ParallelMultipleClassifiersCombiner
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:

-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:
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 ParallelMultipleClassifiersCombiner
Returns:
an array of strings suitable for passing to setOptions

seedTipText

public java.lang.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.

Parameters:
seed - the seed

getSeed

public int getSeed()
Gets the seed for the random number generations

Returns:
the seed for the random number generation