weka.classifiers
Class RandomizableParallelIteratedSingleClassifierEnhancer

java.lang.Object
  extended by weka.classifiers.AbstractClassifier
      extended by weka.classifiers.SingleClassifierEnhancer
          extended by weka.classifiers.IteratedSingleClassifierEnhancer
              extended by weka.classifiers.ParallelIteratedSingleClassifierEnhancer
                  extended by weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer
All Implemented Interfaces:
java.io.Serializable, java.lang.Cloneable, Classifier, CapabilitiesHandler, OptionHandler, RevisionHandler
Direct Known Subclasses:
Bagging, RandomCommittee, RandomSubSpace, RotationForest

public abstract class RandomizableParallelIteratedSingleClassifierEnhancer
extends ParallelIteratedSingleClassifierEnhancer

Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble in parallel from a single base learner.

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

Constructor Summary
RandomizableParallelIteratedSingleClassifierEnhancer()
           
 
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.ParallelIteratedSingleClassifierEnhancer
buildClassifier, getNumExecutionSlots, numExecutionSlotsTipText, setNumExecutionSlots
 
Methods inherited from class weka.classifiers.IteratedSingleClassifierEnhancer
getNumIterations, numIterationsTipText, setNumIterations
 
Methods inherited from class weka.classifiers.SingleClassifierEnhancer
classifierTipText, getCapabilities, getClassifier, setClassifier
 
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

RandomizableParallelIteratedSingleClassifierEnhancer

public RandomizableParallelIteratedSingleClassifierEnhancer()
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 ParallelIteratedSingleClassifierEnhancer
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:

-W classname
Specify the full class name of the base learner.

-I num
Set the number of iterations (default 10).

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

Options after -- are passed to the designated classifier.

Specified by:
setOptions in interface OptionHandler
Overrides:
setOptions in class ParallelIteratedSingleClassifierEnhancer
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 ParallelIteratedSingleClassifierEnhancer
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