edu.cmu.minorthird.classify.algorithms.linear
Class VotedPerceptron

java.lang.Object
  extended by edu.cmu.minorthird.classify.OnlineClassifierLearner
      extended by edu.cmu.minorthird.classify.OnlineBinaryClassifierLearner
          extended by edu.cmu.minorthird.classify.algorithms.linear.VotedPerceptron
All Implemented Interfaces:
BinaryClassifierLearner, ClassifierLearner, java.io.Serializable, java.lang.Cloneable

public class VotedPerceptron
extends OnlineBinaryClassifierLearner
implements java.io.Serializable

Voted perceptron algorithm. As described in "Large Margin Classification Using the Perceptron Algorithm", Yoav Freund and Robert E. Schapire, Proceedings of the Eleventh Annual Conference on Computational Learning Theory, 1998.

Author:
William Cohen
See Also:
Serialized Form

Constructor Summary
VotedPerceptron()
           
VotedPerceptron(boolean ignoreWeights)
          If ignoreWeights is true, treat all weights as binary.
 
Method Summary
 void addExample(Example example)
          Subclasses should use this method to perform whatever incremental update is needed after in response to a new example.
 Classifier getClassifier()
          Subclasses should use this method to return the current classifier.
 void reset()
          'forget' everything about the last learning task, and start a new task.
 java.lang.String toString()
           
 
Methods inherited from class edu.cmu.minorthird.classify.OnlineBinaryClassifierLearner
getBinaryClassifier, getSchema, setSchema
 
Methods inherited from class edu.cmu.minorthird.classify.OnlineClassifierLearner
completeTraining, copy, hasNextQuery, nextQuery, setInstancePool
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
 
Methods inherited from interface edu.cmu.minorthird.classify.ClassifierLearner
completeTraining, copy, hasNextQuery, nextQuery, setInstancePool
 

Constructor Detail

VotedPerceptron

public VotedPerceptron()

VotedPerceptron

public VotedPerceptron(boolean ignoreWeights)
If ignoreWeights is true, treat all weights as binary. For backward compatibility with an older buggy version.

Method Detail

reset

public void reset()
Description copied from class: OnlineClassifierLearner
'forget' everything about the last learning task, and start a new task. Subclasses need to implement this method

Specified by:
reset in interface ClassifierLearner
Specified by:
reset in class OnlineClassifierLearner

addExample

public void addExample(Example example)
Description copied from class: OnlineClassifierLearner
Subclasses should use this method to perform whatever incremental update is needed after in response to a new example.

Specified by:
addExample in interface ClassifierLearner
Specified by:
addExample in class OnlineClassifierLearner

getClassifier

public Classifier getClassifier()
Description copied from class: OnlineClassifierLearner
Subclasses should use this method to return the current classifier.

Specified by:
getClassifier in interface ClassifierLearner
Specified by:
getClassifier in class OnlineClassifierLearner

toString

public java.lang.String toString()
Overrides:
toString in class java.lang.Object