diva.sketch.classification

Class AbstractClassifier

java.lang.Object

diva.sketch.classification.AbstractClassifier

All Implemented Interfaces:

Classifier, TrainableClassifier

Direct Known Subclasses:

BayesClassifier, WeightedEuclideanClassifier

public abstract class AbstractClassifier
extends Object
implements TrainableClassifier

Given a training set containing multiple classes, for each class, an AbstractClassifier would compute the mu and sigma of each feature of that class. These mu's and sigma's are stored in a WeightSet object. As the result, if there are n classes, there should be n WeightSet objects.

Version:

$Revision: 1.2 $

Author:

Heloise Hse (hwawen@eecs.berkeley.edu)

Field Summary

Fields

Modifier and Type	Field and Description
protected ArrayList	_weights An array of WeighSet objects, one per class.

Constructor Summary

Constructors

Constructor and Description
AbstractClassifier() Construct an abstract classifier and instantiate its weight array for features.

Method Summary

Modifier and Type	Method and Description
void	clear() Reset the weight sets.
void	debug(String s) Debugging output.
boolean	isIncremental() Return false; not incremental.
void	train(TrainingSet tset) Train on the given data set by building the set of weights that are to be used by the classify() method.

Methods inherited from class java.lang.Object

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

Methods inherited from interface diva.sketch.classification.Classifier

classify

Field Detail

_weights

protected ArrayList _weights

An array of WeighSet objects, one per class.

Constructor Detail

AbstractClassifier

public AbstractClassifier()

Construct an abstract classifier and instantiate its weight array for features.

Method Detail

clear

public void clear()

Reset the weight sets.

Specified by:

clear in interface TrainableClassifier

debug

public final void debug(String s)

Debugging output.

isIncremental

public final boolean isIncremental()

Return false; not incremental.

Specified by:

isIncremental in interface TrainableClassifier

train

public void train(TrainingSet tset)
           throws ClassifierException

Train on the given data set by building the set of weights that are to be used by the classify() method. There is one WeightSet object per class. The WeightSet object computes and stores the mu's and sigma's of the features of that class.

Specified by:

train in interface TrainableClassifier

Throws:

ClassifierException