weka.classifiers

Interface IterativeClassifier

All Superinterfaces:

Classifier

All Known Implementing Classes:

AdaBoostM1, AdditiveRegression, FilteredClassifier, LogitBoost, MultilayerPerceptron, RandomizableFilteredClassifier

public interface IterativeClassifier
extends Classifier

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

Method Summary

Modifier and Type	Method and Description
void	done() Signal end of iterating, useful for any house-keeping/cleanup
void	initializeClassifier(Instances instances) Initializes an iterative classifier.
boolean	next() Performs one iteration.

Methods inherited from interface weka.classifiers.Classifier

buildClassifier, classifyInstance, distributionForInstance, getCapabilities

Method Detail

initializeClassifier

void initializeClassifier(Instances instances)
                   throws java.lang.Exception

Initializes an iterative classifier.

Parameters:

instances - the instances to be used in induction

Throws:

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

next

boolean next()
      throws java.lang.Exception

Performs one iteration.

Returns:

false if no further iterations could be performed, true otherwise

Throws:

java.lang.Exception - if this iteration fails for unexpected reasons

done

void done()
   throws java.lang.Exception

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

Throws:

java.lang.Exception - if cleanup fails