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## Uses of Package
cc.mallet.classify

Packages that use cc.mallet.classify
cc.mallet.classify | Classes for training and classifying instances.
cc.mallet.classify.evaluate | Classes for computing and displaying the quaility of a classification trial, including accuracy, precision, and confusion matrix.
cc.mallet.cluster.neighbor_evaluator |
cc.mallet.fst.confidence |
cc.mallet.pipe | Classes for processing arbitrary data into instances.
cc.mallet.share.upenn | Utilities that currently include a command line wrapper for the maxent classifier.
cc.mallet.topics |
cc.mallet.types | Fundamental MALLET types, including FeatureVector, Instance, Label etc.

Classes in cc.mallet.classify used by cc.mallet.classify
AdaBoost AdaBoost Robert E.
AdaBoostM2 AdaBoostM2
BaggingClassifier
BalancedWinnow Classification methods of BalancedWinnow algorithm.
Boostable This interface is a tag indicating that the classifier attends to the InstanceList.getInstanceWeight() weights when training.
C45 A C4.5 Decision Tree classifier.
C45.Node
Classification The result of classifying a single instance.
Classifier Abstract parent of all Classifiers.
ClassifierEnsemble Classifer for an ensemble of classifers, combined with learned weights.
ClassifierEvaluator
ClassifierTrainer Each ClassifierTrainer trains one Classifier based on various interfaces for consuming training data.
ClassifierTrainer.ByIncrements For various kinds of online learning by batches, where training instances are presented, consumed for learning immediately.
ClassifierTrainer.ByInstanceIncrements For online learning that can operate on one instance at a time.
ClassifierTrainer.ByOptimization
ClassifierTrainer.Factory Instances of a Factory know how to create new ClassifierTrainers to apply to new Classifiers.
ConfidencePredictingClassifier
DecisionTree Decision Tree classifier.
DecisionTree.Node
DecisionTreeTrainer A decision tree learner, roughly ID3, but only to a fixed given depth in all branches.
MaxEnt Maximum Entropy (AKA Multivariate Logistic Regression) classifier.
MaxEntOptimizableByLabelDistribution
MaxEntOptimizableByLabelLikelihood
MaxEntTrainer The trainer for a Maximum Entropy classifier.
MCMaxEnt Maximum Entropy classifier.
MCMaxEntTrainer The trainer for a Maximum Entropy classifier.
NaiveBayes A classifier that classifies instances according to the NaiveBayes method.
NaiveBayesTrainer Class used to generate a NaiveBayes classifier from a set of training data.
NaiveBayesTrainer.Factory
Winnow Classification methods of Winnow2 algorithm.

Classes in cc.mallet.classify used by cc.mallet.classify.evaluate
Classifier Abstract parent of all Classifiers.
Trial Stores the results of classifying a collection of Instances, and provides many methods for evaluating the results.

Classes in cc.mallet.classify used by cc.mallet.cluster.neighbor_evaluator
Classifier Abstract parent of all Classifiers.

Classes in cc.mallet.classify used by cc.mallet.fst.confidence
MaxEnt Maximum Entropy (AKA Multivariate Logistic Regression) classifier.

Classes in cc.mallet.classify used by cc.mallet.pipe
Classification The result of classifying a single instance.
Classifier Abstract parent of all Classifiers.
ClassifierTrainer Each ClassifierTrainer trains one Classifier based on various interfaces for consuming training data.

Classes in cc.mallet.classify used by cc.mallet.share.upenn
Classification The result of classifying a single instance.
Classifier Abstract parent of all Classifiers.

Classes in cc.mallet.classify used by cc.mallet.topics
MaxEnt Maximum Entropy (AKA Multivariate Logistic Regression) classifier.

Classes in cc.mallet.classify used by cc.mallet.types
Classification The result of classifying a single instance.
Trial Stores the results of classifying a collection of Instances, and provides many methods for evaluating the results.

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