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

Class weka.classifiers.meta.OrdinalClassClassifier 

java.lang.Object
    |
    +----weka.classifiers.Classifier
            |
            +----weka.classifiers.DistributionClassifier
                    |
                    +----weka.classifiers.meta.OrdinalClassClassifier
public class OrdinalClassClassifier
extends DistributionClassifier
implements OptionHandler
Meta classifier for transforming an ordinal class problem to a series of binary class problems. For more information see:

Frank, E. and Hall, M. (in press). A simple approach to ordinal prediction. 12th European Conference on Machine Learning. Freiburg, Germany.

Valid options are:

-W classname
Specify the full class name of a learner as the basis for the ordinalclassclassifier (required).

Version:
$Revision 1.0 $
Author:
Mark Hall
See Also:
DistributionClassifier, OptionHandler

Constructor Index

o OrdinalClassClassifier()
 

Method Index

o buildClassifier(Instances)
Builds the classifiers.
o distributionClassifierTipText()
 
o distributionForInstance(Instance)
Returns the distribution for an instance.
o getDistributionClassifier()
Get the classifier used as the classifier
o getOptions()
Gets the current settings of the Classifier.
o globalInfo()
Returns a string describing this attribute evaluator
o listOptions()
Returns an enumeration describing the available options.
o main(String[])
Main method for testing this class.
o setDistributionClassifier(DistributionClassifier)
Set the base classifier.
o setOptions(String[])
Parses a given list of options.
o toString()
Prints the classifiers.

Constructor Detail

o OrdinalClassClassifier
public OrdinalClassClassifier()

Method Detail

o globalInfo
public java.lang.String globalInfo()
          Returns a string describing this attribute evaluator
Returns:
a description of the evaluator suitable for displaying in the explorer/experimenter gui
o buildClassifier
public void buildClassifier(Instances insts) throws java.lang.Exception
          Builds the classifiers.
Parameters:
insts - the training data.
Throws:
java.lang.Exception - if a classifier can't be built
Overrides:
buildClassifier in class Classifier
o distributionForInstance
public double[] distributionForInstance(Instance inst) throws java.lang.Exception
          Returns the distribution for an instance.
Throws:
java.lang.Exception - if the distribution can't be computed successfully
Overrides:
distributionForInstance in class DistributionClassifier
o listOptions
public java.util.Enumeration listOptions()
          Returns an enumeration describing the available options.
Returns:
an enumeration of all the available options.
o 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 a learner as the basis for the ordinalclassclassifier (required).

Parameters:
options - the list of options as an array of strings
Throws:
java.lang.Exception - if an option is not supported
o getOptions
public java.lang.String[] getOptions()
          Gets the current settings of the Classifier.
Returns:
an array of strings suitable for passing to setOptions
o distributionClassifierTipText
public java.lang.String distributionClassifierTipText()
Returns:
tip text for this property suitable for displaying in the explorer/experimenter gui
o setDistributionClassifier
public void setDistributionClassifier(DistributionClassifier newClassifier)
          Set the base classifier.
Parameters:
newClassifier - the Classifier to use.
o getDistributionClassifier
public DistributionClassifier getDistributionClassifier()
          Get the classifier used as the classifier
Returns:
the classifier used as the classifier
o toString
public java.lang.String toString()
          Prints the classifiers.
Overrides:
toString in class java.lang.Object
o main
public static void main(java.lang.String argv[])
          Main method for testing this class.
Parameters:
argv - the options 
All Packages  Class Hierarchy  This Package  Previous  Next  Index  WEKA's home