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Class weka.classifiers.MultiScheme

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

public class MultiScheme

extends Classifier

implements OptionHandler

Valid options from the command line are:

-D
Turn on debugging output.

-S seed
Random number seed (default 1).

-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).

-X num_folds
Use cross validation error as the basis for classifier selection. (default 0, is to use error on the training data instead)

Version:

$Revision: 1.7 $

Author:

Len Trigg (trigg@cs.waikato.ac.nz)

MultiScheme()

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 selected classifier.

getClassifier(int)

Gets a single classifier from the set of available classifiers.

getClassifiers()

Gets the list of possible classifers to choose from.

getDebug()

Get whether debugging is turned on

getNumFolds()

Gets the number of folds for 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.

setClassifiers(Classifier[])

Sets the list of possible classifers to choose from.

setDebug(boolean)

Set debugging mode

setNumFolds(int)

Sets the number of folds for 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 MultiScheme()

 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:

-D
Turn on debugging output.

-S seed
Random number seed (default 1).

-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).

-X num_folds
Use cross validation error as the basis for classifier selection. (default 0, is to use error on the training data instead)

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 setClassifiers(Classifier classifiers[])

Sets the list of possible classifers to choose from.

Parameters:

classifiers - an array of classifiers with all options set.

 public Classifier[] getClassifiers()

Gets the list of possible classifers to choose from.

Returns:

the array of Classifiers

 public Classifier getClassifier(int index)

Gets a single classifier from the set of available classifiers.

Parameters:

index - the index of the classifier wanted

Returns:

the Classifier

 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 cross-validation. A number less than 2 specifies using training error rather than cross-validation.

Returns:

the number of folds for cross-validation

 public void setNumFolds(int numFolds)

Sets the number of folds for cross-validation. A number less than 2 specifies using training error rather than cross-validation.

Parameters:

numFolds - the number of folds for cross-validation

 public void setDebug(boolean debug)

Set debugging mode

Parameters:

debug - true if debug output should be printed

 public boolean getDebug()

Get whether debugging is turned on

Returns:

true if debugging output is on

 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 selected 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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