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## 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` | `MaxEntGETrainer` Training of MaxEnt models with labeled features using Generalized Expectation Criteria.
`class` | `MaxEntL1Trainer`
`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.
`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
`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)`

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