weka.classifiers
Interface IterativeClassifier

All Known Implementing Classes:

ADTree

public interface IterativeClassifier

Interface for classifiers that can induce models of growing complexity one step at a time.

Version:

$Revision: 1.2 $

Author:

Gabi Schmidberger (gabi@cs.waikato.ac.nz), Bernhard Pfahringer (bernhard@cs.waikato.ac.nz)

Method Summary

java.lang.Object	clone() Performs a deep copy of the classifier, and a reference copy of the training instances (or a deep copy if required).
void	done() Signal end of iterating, useful for any house-keeping/cleanup
void	initClassifier(Instances instances) Inits an iterative classifier.
void	next(int iteration) Performs one iteration.

Method Detail

initClassifier

public void initClassifier(Instances instances)
                    throws java.lang.Exception

Inits an iterative classifier.

Parameters:

instances - the instances to be used in induction

Throws:

java.lang.Exception - if the model cannot be initialized

next

public void next(int iteration)
          throws java.lang.Exception

Performs one iteration.

Parameters:

iteration - the index of the current iteration (0-based)

Throws:

java.lang.Exception - if this iteration fails

done

public void done()
          throws java.lang.Exception

Signal end of iterating, useful for any house-keeping/cleanup

Throws:

java.lang.Exception - if cleanup fails

clone

public java.lang.Object clone()
                       throws java.lang.CloneNotSupportedException

Performs a deep copy of the classifier, and a reference copy of the training instances (or a deep copy if required).

Returns:

a clone of the classifier

java.lang.CloneNotSupportedException