Package cc.mallet.classify

Class ClassifierTrainer<C extends Classifier>

java.lang.Object

cc.mallet.classify.ClassifierTrainer<C>

Direct Known Subclasses:

AdaBoostM2Trainer, AdaBoostTrainer, BaggingTrainer, BalancedWinnowTrainer, C45Trainer, ClassifierEnsembleTrainer, ConfidencePredictingClassifierTrainer, DecisionTreeTrainer, FeatureSelectingClassifierTrainer, MaxEntGERangeTrainer, MaxEntGETrainer, MaxEntPRTrainer, MaxEntTrainer, MCMaxEntTrainer, MostFrequentClassAssignmentTrainer, NaiveBayesEMTrainer, NaiveBayesTrainer, RandomAssignmentTrainer, WinnowTrainer

public abstract class ClassifierTrainer<C extends Classifier>
extends java.lang.Object

Each ClassifierTrainer trains one Classifier based on various interfaces for consuming training data. If you want an object that can train be asked to train on multiple different training sets and yield different classifiers, you probably want a ClassifierTrainer.Factory.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static interface	ClassifierTrainer.ByActiveLearning<C extends Classifier>	For active learning, in which this trainer will select certain instances and request that the Labeler instance label them.
static interface	ClassifierTrainer.ByIncrements<C extends Classifier>	For various kinds of online learning by batches, where training instances are presented, consumed for learning immediately.
static interface	ClassifierTrainer.ByInstanceIncrements<C extends Classifier>	For online learning that can operate on one instance at a time.
static interface	ClassifierTrainer.ByOptimization<C extends Classifier>
static class	ClassifierTrainer.Factory<CT extends ClassifierTrainer<? extends Classifier>>	Instances of a Factory know how to create new ClassifierTrainers to apply to new Classifiers.

Field Summary

Fields

Modifier and Type	Field	Description
protected boolean	finishedTraining
protected InstanceList	validationSet

Constructor Summary

Constructors

Constructor	Description
ClassifierTrainer()

Method Summary

Modifier and Type	Method	Description
abstract C	getClassifier()
InstanceList	getValidationInstances()
boolean	isFinishedTraining()
void	setValidationInstances(InstanceList validationSet)
abstract C	train(InstanceList trainingSet)

Methods inherited from class java.lang.Object

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

Field Detail

validationSet

protected InstanceList validationSet

finishedTraining

protected boolean finishedTraining

Constructor Detail

ClassifierTrainer

public ClassifierTrainer()

Method Detail

isFinishedTraining

public boolean isFinishedTraining()

getClassifier

public abstract C getClassifier()

train

public abstract C train(InstanceList trainingSet)

setValidationInstances

public void setValidationInstances(InstanceList validationSet)

getValidationInstances

public InstanceList getValidationInstances()