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

java.lang.Object
  edu.cmu.minorthird.classify.OnlineClassifierLearner
      edu.cmu.minorthird.classify.OnlineBinaryClassifierLearner
          edu.cmu.minorthird.classify.algorithms.linear.PassiveAggressiveLearner

All Implemented Interfaces:

BinaryClassifierLearner, ClassifierLearner, java.io.Serializable, java.lang.Cloneable

public class PassiveAggressiveLearner
extends OnlineBinaryClassifierLearner
implements java.io.Serializable

Created on Sep 26, 2005

Author:

Vitor R. Carvalho Passive Aggressive algorithm as described in "Online Passive Agressive Algorithms" Cramer, Dekel, Shalev-Shwartz, Singer, NIPS 2003. Classification mode. Additionally, it implements optionally a voting scheme. (voted parameter)

See Also:

Serialized Form

Constructor Summary

PassiveAggressiveLearner()

PassiveAggressiveLearner(double eta, double gamma, boolean voted)

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.
double	getNormSquared(Instance ins)
static void	main(java.lang.String[] args)
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

PassiveAggressiveLearner

public PassiveAggressiveLearner()

PassiveAggressiveLearner

public PassiveAggressiveLearner(double eta,
                                double gamma,
                                boolean voted)

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

getNormSquared

public double getNormSquared(Instance ins)

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

main

public static void main(java.lang.String[] args)