Uses of Class
cc.mallet.classify.ClassifierTrainer

Packages that use ClassifierTrainer

Package	Description
cc.mallet.classify	Classes for training and classifying instances.
cc.mallet.pipe	Classes for processing arbitrary data into instances.

Uses of ClassifierTrainer in cc.mallet.classify

Classes in cc.mallet.classify with type parameters of type ClassifierTrainer

Modifier and Type	Class	Description
static class	ClassifierTrainer.Factory<CT extends ClassifierTrainer<? extends Classifier>>	Instances of a Factory know how to create new ClassifierTrainers to apply to new Classifiers.

Subclasses of ClassifierTrainer in cc.mallet.classify

Modifier and Type	Class	Description
class	AdaBoostM2Trainer	This version of AdaBoost can handle multi-class problems.
class	AdaBoostTrainer	This version of AdaBoost should be used only for binary classification.
class	BaggingTrainer	Bagging Trainer.
class	BalancedWinnowTrainer	An implementation of the training methods of a BalancedWinnow on-line classifier.
class	C45Trainer	A C4.5 decision tree learner, approximtely.
class	ClassifierEnsembleTrainer
class	ConfidencePredictingClassifierTrainer
class	DecisionTreeTrainer	A decision tree learner, roughly ID3, but only to a fixed given depth in all branches.
class	FeatureSelectingClassifierTrainer	Adaptor for adding feature selection to a classifier trainer.
class	MaxEntGERangeTrainer	Training of MaxEnt models with labeled features using Generalized Expectation Criteria.
class	MaxEntGETrainer	Training of MaxEnt models with labeled features using Generalized Expectation Criteria.
class	MaxEntL1Trainer
class	MaxEntPRTrainer	Penalty (soft) version of Posterior Regularization (PR) for training MaxEnt.
class	MaxEntTrainer	The trainer for a Maximum Entropy classifier.
class	MCMaxEntTrainer	The trainer for a Maximum Entropy classifier.
class	MostFrequentClassAssignmentTrainer	A Classifier Trainer to be used with MostFrequentClassifier.
class	NaiveBayesEMTrainer
class	NaiveBayesTrainer	Class used to generate a NaiveBayes classifier from a set of training data.
class	RandomAssignmentTrainer	A Classifier Trainer to be used with RandomClassifier.
class	RankMaxEntTrainer	The trainer for a RankMaxEnt classifier.
class	WinnowTrainer	An implementation of the training methods of a Winnow2 on-line classifier.

Methods in cc.mallet.classify with parameters of type ClassifierTrainer

Modifier and Type	Method	Description
void	ClassifierEvaluator.evaluate(ClassifierTrainer ct)	Evaluates a ClassifierTrainer and its Classifier on the instance lists specified in the constructor.
void	ClassifierAccuracyEvaluator.evaluateInstanceList(ClassifierTrainer trainer, InstanceList instances, java.lang.String description)
abstract void	ClassifierEvaluator.evaluateInstanceList(ClassifierTrainer trainer, InstanceList instances, java.lang.String description)
protected void	ClassifierEvaluator.preamble(ClassifierTrainer ct)

Constructors in cc.mallet.classify with parameters of type ClassifierTrainer

Constructor	Description
AdaBoostM2Trainer(ClassifierTrainer weakLearner)
AdaBoostM2Trainer(ClassifierTrainer weakLearner, int numRounds)
AdaBoostTrainer(ClassifierTrainer weakLearner)
AdaBoostTrainer(ClassifierTrainer weakLearner, int numRounds)
ConfidencePredictingClassifierTrainer(ClassifierTrainer underlyingClassifierTrainer, InstanceList validationSet)
ConfidencePredictingClassifierTrainer(ClassifierTrainer underlyingClassifierTrainer, InstanceList validationSet, Pipe confidencePredictingPipe)
FeatureSelectingClassifierTrainer(ClassifierTrainer underlyingTrainer, FeatureSelector featureSelector)

Uses of ClassifierTrainer in cc.mallet.pipe

Constructors in cc.mallet.pipe with parameters of type ClassifierTrainer

Constructor	Description
TokenClassifiers(ClassifierTrainer trainer, InstanceList trainList, int randSeed, int numCV)