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Class weka.classifiers.Stacking

java.lang.Object
   |
   +----weka.classifiers.Classifier
           |
           +----weka.classifiers.Stacking

public class Stacking

extends Classifier

implements OptionHandler

David H. Wolpert (1992). Stacked generalization. Neural Networks, 5:241-259, Pergamon Press.

Valid options are:

-X num_folds
The number of folds for the cross-validation (default 10).

-S seed
Random number seed (default 1).

-B classifierstring
Classifierstring should contain the full class name of a base scheme followed by options to the classifier. (required, option should be used once for each classifier).

-M classifierstring
Classifierstring for the meta classifier. Same format as for base classifiers. (required)

Version:

$Revision: 1.11 $

Author:

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

Stacking()

buildClassifier(Instances)

Buildclassifier selects a classifier from the set of classifiers by minimising error on the training data.

classifyInstance(Instance)

Classifies a given instance using the stacked classifier.

getBaseClassifier(int)

Gets the specific classifier from the set of base classifiers.

getBaseClassifiers()

Gets the list of possible classifers to choose from.

getMetaClassifier()

Gets the meta classifier.

getNumFolds()

Gets the number of folds for the cross-validation.

getOptions()

Gets the current settings of the Classifier.

getSeed()

Gets the random number seed.

listOptions()

Returns an enumeration describing the available options

main(String[])

Main method for testing this class.

setBaseClassifiers(Classifier[])

Sets the list of possible classifers to choose from.

setMetaClassifier(Classifier)

Adds meta classifier

setNumFolds(int)

Sets the number of folds for the cross-validation.

setOptions(String[])

Parses a given list of options.

setSeed(int)

Sets the seed for random number generation.

toString()

Output a representation of this classifier

 public Stacking()

 public Enumeration listOptions()

Returns an enumeration describing the available options

Returns:

an enumeration of all the available options

 public void setOptions(String options[]) throws Exception

Parses a given list of options. Valid options are:

-X num_folds
The number of folds for the cross-validation (default 10).

-S seed
Random number seed (default 1).

-B classifierstring
Classifierstring should contain the full class name of a base scheme followed by options to the classifier. (required, option should be used once for each classifier).

-M classifierstring
Classifierstring for the meta classifier. Same format as for base classifiers. (required)

Parameters:

options - the list of options as an array of strings

Throws: Exception

if an option is not supported

 public String[] getOptions()

Gets the current settings of the Classifier.

Returns:

an array of strings suitable for passing to setOptions

 public void setSeed(int seed)

Sets the seed for random number generation.

Parameters:

seed - the random number seed

 public int getSeed()

Gets the random number seed.

Returns:

the random number seed

 public int getNumFolds()

Gets the number of folds for the cross-validation.

Returns:

the number of folds for the cross-validation

 public void setNumFolds(int numFolds) throws Exception

Sets the number of folds for the cross-validation.

Parameters:

numFolds - the number of folds for the cross-validation

Throws: Exception

if parameter illegal

 public void setBaseClassifiers(Classifier classifiers[])

Sets the list of possible classifers to choose from.

Parameters:

classifiers - an array of classifiers with all options set.

 public Classifier[] getBaseClassifiers()

Gets the list of possible classifers to choose from.

Returns:

the array of Classifiers

 public Classifier getBaseClassifier(int index)

Gets the specific classifier from the set of base classifiers.

Parameters:

index - the index of the classifier to retrieve

Returns:

the classifier

 public void setMetaClassifier(Classifier classifier)

Adds meta classifier

Parameters:

classifier - the classifier with all options set.

 public Classifier getMetaClassifier()

Gets the meta classifier.

Returns:

the meta classifier

 public void buildClassifier(Instances data) throws Exception

Buildclassifier selects a classifier from the set of classifiers by minimising error on the training data.

Parameters:

data - the training data to be used for generating the boosted classifier.

Throws: Exception

if the classifier could not be built successfully

Overrides:

buildClassifier in class Classifier

 public double classifyInstance(Instance instance) throws Exception

Classifies a given instance using the stacked classifier.

Parameters:

instance - the instance to be classified

Throws: Exception

if instance could not be classified successfully

Overrides:

classifyInstance in class Classifier

 public String toString()

Output a representation of this classifier

Overrides:

toString in class Object

 public static void main(String argv[])

Main method for testing this class.

Parameters:

argv - should contain the following arguments: -t training file [-T test file] [-c class index]

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