Uses of Class
cc.mallet.classify.ClassifierTrainer

Packages that use ClassifierTrainer

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

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

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	NaiveBayesEMTrainer
class	NaiveBayesTrainer Class used to generate a NaiveBayes classifier from a set of training data.
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

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

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

AddClassifierTokenPredictions.TokenClassifiers(ClassifierTrainer trainer, InstanceList trainList, int randSeed, int numCV)