edu.cmu.minorthird.classify
Class TweakedLearner

java.lang.Object
  edu.cmu.minorthird.classify.BatchClassifierLearner
      edu.cmu.minorthird.classify.BatchBinaryClassifierLearner
          edu.cmu.minorthird.classify.TweakedLearner

All Implemented Interfaces:

BinaryClassifierLearner, ClassifierLearner, java.lang.Cloneable

Direct Known Subclasses:

Recommended.TweakedLearner

public class TweakedLearner
extends BatchBinaryClassifierLearner

A Tweaked Learner, with an optimization of the precision vs. recall

Author:

Giora Unger Created on May 19, 2005 A learner whose score was optimized according to an F_beta() function, for a given beta. This optimization is used to fine-tune the precision vs. recall for the underlying classification algorithm. Values of beta<1.0 favor precision over recall, while values of beta>1.0 favor recall over precision. beta=1.0 grants equal weight to both precision and recall.

Reference: Jason D. M. Rennie, Derivation of the F-Measure, http://people.csail.mit.edu/jrennie/writing/fmeasure.pdf

Nested Class Summary

static class

TweakedLearner.TweakedClassifier A Tweaked Classifier, with an optimization of the precision vs.

Field Summary

Fields inherited from class edu.cmu.minorthird.classify.BatchClassifierLearner

classifier, dataset

Constructor Summary

TweakedLearner(BinaryClassifierLearner innerLearner, double beta)
Public methods

Method Summary

Classifier	batchTrain(Dataset dataset) subclasses should use this method to implement a batch supervised learning algorithm.
double	getBeta()
BinaryClassifierLearner	getInnerLearner()
static void	main(java.lang.String[] args) Main method for testing purposes
void	setBeta(double beta)
void	setInnerLearner(BinaryClassifierLearner learner)

Methods inherited from class edu.cmu.minorthird.classify.BatchBinaryClassifierLearner

batchTrainBinary, getBinaryClassifier, getSchema, setSchema

Methods inherited from class edu.cmu.minorthird.classify.BatchClassifierLearner

addExample, completeTraining, copy, getClassifier, hasNextQuery, nextQuery, reset, setInstancePool

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface edu.cmu.minorthird.classify.ClassifierLearner

addExample, completeTraining, copy, getClassifier, hasNextQuery, nextQuery, reset, setInstancePool

Constructor Detail

TweakedLearner

public TweakedLearner(BinaryClassifierLearner innerLearner,
                      double beta)

Public methods

Method Detail

batchTrain

public Classifier batchTrain(Dataset dataset)

Description copied from class: BatchClassifierLearner

subclasses should use this method to implement a batch supervised learning algorithm.

Specified by:

batchTrain in class BatchClassifierLearner

getBeta

public double getBeta()

Returns:

Returns the beta.

setBeta

public void setBeta(double beta)

Parameters:

beta - The beta to set.

getInnerLearner

public BinaryClassifierLearner getInnerLearner()

Returns:

Returns the innerLearner.

setInnerLearner

public void setInnerLearner(BinaryClassifierLearner learner)

Parameters:

learner - The innerLearner to set.

main

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

Main method for testing purposes