java.lang.Object
- weka.classifiers.Classifier
- - weka.classifiers.MultipleClassifiersCombiner
  - - weka.classifiers.RandomizableMultipleClassifiersCombiner

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, CapabilitiesHandler, OptionHandler, Randomizable, RevisionHandler

Direct Known Subclasses:

MultiScheme, Stacking, Vote
```
public abstract class RandomizableMultipleClassifiersCombiner
extends MultipleClassifiersCombiner
implements Randomizable
```
Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from multiple classifiers based on a given random number seed.

Version:

$Revision: 1.4 $

Author:

Eibe Frank (eibe@cs.waikato.ac.nz)

See Also:

Serialized Form

Constructor Summary

Constructors
Constructor Description

RandomizableMultipleClassifiersCombiner()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`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.MultipleClassifiersCombiner
classifiersTipText, getCapabilities, getClassifier, getClassifiers, setClassifiers

Methods inherited from class weka.classifiers.Classifier
buildClassifier, 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
  - RandomizableMultipleClassifiersCombiner
```
public RandomizableMultipleClassifiersCombiner()
```
- 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:
    -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 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
  - 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.
    
    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

Class RandomizableMultipleClassifiersCombiner

Constructor Summary

Method Summary

Methods inherited from class weka.classifiers.MultipleClassifiersCombiner

Methods inherited from class weka.classifiers.Classifier

Methods inherited from class java.lang.Object

Constructor Detail

RandomizableMultipleClassifiersCombiner

Method Detail

listOptions

setOptions

getOptions

seedTipText

setSeed

getSeed