All Packages  Class Hierarchy  This Package  Previous  Next  Index  WEKA's home

Class weka.classifiers.meta.Grading

java.lang.Object
    |
    +----weka.classifiers.Classifier
            |
            +----weka.classifiers.meta.Grading

public class Grading

extends Classifier

implements OptionHandler

Seewald A.K., Fuernkranz J. (2001): An Evaluation of Grading Classifiers, in Hoffmann F.\ et al.\ (eds.), Advances in Intelligent Data Analysis, 4th International Conference, IDA 2001, Proceedings, Springer, Berlin/Heidelberg/New York/Tokyo, pp.115-124, 2001 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. This classifier estimates confidence in prediction of base classifiers. (required)

Version:

$Revision: 1.1 $

Author:

Alexander K. Seewald (alex@seewald.at)

Grading()

 

buildClassifier(Instances)

 

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 classifiers.

getMetaClassifiersX()

Gets the meta classifiers.

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 Grading()

public java.util.Enumeration listOptions()

          Returns an enumeration describing the available options

Returns:

an enumeration of all the available options

public void setOptions(java.lang.String options[]) throws java.lang.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:

java.lang.Exception - if an option is not supported

public java.lang.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 java.lang.Exception

          Sets the number of folds for the cross-validation.

Parameters:

numFolds - the number of folds for the cross-validation

Throws:

java.lang.Exception - if parameter illegal

public void setBaseClassifiers(Classifier classifiers[]) throws java.lang.Exception

          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) throws java.lang.Exception

          Adds meta classifier

Parameters:

classifier - the classifier with all options set.

public Classifier[] getMetaClassifiersX()

          Gets the meta classifiers.

Returns:

the array of meta classifiers

public Classifier getMetaClassifier()

          Gets the meta classifiers.

Returns:

the array of meta classifiers

public void buildClassifier(Instances data) throws java.lang.Exception

Parameters:

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

Throws:

java.lang.Exception - if the classifier could not be built successfully

Overrides:

buildClassifier in class Classifier

public double classifyInstance(Instance instance) throws java.lang.Exception

          Classifies a given instance using the stacked classifier.

Parameters:

instance - the instance to be classified

Throws:

java.lang.Exception - if instance could not be classified successfully

Overrides:

classifyInstance in class Classifier

public java.lang.String toString()

          Output a representation of this classifier

Overrides:

toString in class java.lang.Object

public static void main(java.lang.String argv[])

          Main method for testing this class.

Parameters:

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

All Packages  Class Hierarchy  This Package  Previous  Next  Index  WEKA's home