| Name | Description | Type | Package | Framework |
| AccuracyCoverage | Methods for calculating and displaying the accuracy v. | Class | cc.mallet.classify.evaluate | Mallet |
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| AdaBoost | Robert E. | Class | cc.mallet.classify | Mallet |
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| AdaBoostM2 | Yoav Freund and Robert E. | Class | cc.mallet.classify | Mallet |
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| AdaBoostM2Trainer | This version of AdaBoost can handle multi-class problems. | Class | cc.mallet.classify | Mallet |
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| AdaBoostTrainer | This version of AdaBoost should be used only for binary classification. | Class | cc.mallet.classify | Mallet |
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| BaggingClassifier | | Class | cc.mallet.classify | Mallet |
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| BaggingTrainer | | Class | cc.mallet.classify | Mallet |
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| BalancedWinnow | Classification methods of BalancedWinnow algorithm. | Class | cc.mallet.classify | Mallet |
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| BalancedWinnowTrainer | An implementation of the training methods of a BalancedWinnow on-line classifier. | Class | cc.mallet.classify | Mallet |
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| Boostable | | Interface | cc.mallet.classify | Mallet |
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| C45 | A C4. | Class | cc.mallet.classify | Mallet |
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| C45 .Node | See Also:Serialized FormConstructor SummaryC45. | Class | cc.mallet.classify.C45 | Mallet |
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| C45Trainer | A C4. | Class | cc.mallet.classify | Mallet |
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| Calo2Classify | Classify documents, run trials, print statistics from a vector file. | Class | cc.mallet.classify.tui | Mallet |
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| Classification | The result of classifying a single instance. | Class | cc.mallet.classify | Mallet |
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| Classifier | Abstract parent of all Classifiers. | Class | cc.mallet.classify | Mallet |
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| Classifier2Info | Diagnostic facilities for a classifier. | Class | cc.mallet.classify.tui | Mallet |
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| ClassifierAccuracyEvaluator | | Class | cc.mallet.classify | Mallet |
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| ClassifierEnsemble | Classifer for an ensemble of classifers, combined with learned weights. | Class | cc.mallet.classify | Mallet |
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| ClassifierEnsembleTrainer | | Class | cc.mallet.classify | Mallet |
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| ClassifierEvaluator | | Class | cc.mallet.classify | Mallet |
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| ClassifierTrainer | Each ClassifierTrainer trains one Classifier based on various interfaces for consuming training data. | Class | cc.mallet.classify | Mallet |
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| ClassifierTrainer .ByActiveLearning | For active learning, in which this trainer will select certain instances and request that the Labeler instance label them. | Interface | cc.mallet.classify.ClassifierTrainer | Mallet |
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| ClassifierTrainer .ByIncrements | For various kinds of online learning by batches, where training instances are presented, consumed for learning immediately. | Interface | cc.mallet.classify.ClassifierTrainer | Mallet |
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| ClassifierTrainer .ByInstanceIncrements | For online learning that can operate on one instance at a time. | Interface | cc.mallet.classify.ClassifierTrainer | Mallet |
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| ClassifierTrainer .ByOptimization | | Interface | cc.mallet.classify.ClassifierTrainer | Mallet |
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| ClassifierTrainer .Factory | Instances of a Factory know how to create new ClassifierTrainers to apply to new Classifiers. | Class | cc.mallet.classify.ClassifierTrainer | Mallet |
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| ConfidencePredictingClassifier | See Also:Serialized FormFields inherited from class cc. | Class | cc.mallet.classify | Mallet |
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| ConfidencePredictingClassifierTrainer | Nested Class SummaryNested classes/interfaces inherited from class cc. | Class | cc.mallet.classify | Mallet |
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| ConfusionMatrix | Calculates and prints confusion matrix, accuracy, and precision for a given clasification trial. | Class | cc.mallet.classify.evaluate | Mallet |
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| Csv2Classify | Command line tool for classifying a sequence of instances directly from text input, without | Class | cc.mallet.classify.tui | Mallet |
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| Csv2Vectors | Command line import tool for loading a sequence of instances from a single file, with one instance | Class | cc.mallet.classify.tui | Mallet |
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| DecisionTree | Decision Tree classifier. | Class | cc.mallet.classify | Mallet |
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| DecisionTree .Node | See Also:Serialized FormConstructor SummaryDecisionTree. | Class | cc.mallet.classify.DecisionTree | Mallet |
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| DecisionTreeTrainer | A decision tree learner, roughly ID3, but only to a fixed given depth in all branches. | Class | cc.mallet.classify | Mallet |
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| DecisionTreeTrainer .Factory | | Class | cc.mallet.classify.DecisionTreeTrainer | Mallet |
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| DocumentClassifier | | Class | cc.mallet.classify.examples | Mallet |
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| FeatureConstraintUtil | Utility functions for creating feature constraints that can be used with GE training. | Class | cc.mallet.classify | Mallet |
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| FeatureSelectingClassifierTrainer | Adaptor for adding feature selection to a classifier trainer. | Class | cc.mallet.classify | Mallet |
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| Graph | Framework for standard graph. | Class | cc.mallet.classify.evaluate | Mallet |
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| Graph2 | Methods for a 2-D graphSee Also:Serialized Form | Class | cc.mallet.classify.evaluate | Mallet |
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| GraphItem | Holds data for a point on a graphConstructor SummaryGraphItem(java. | Class | cc.mallet.classify.evaluate | Mallet |
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| MaxEnt | Maximum Entropy (AKA Multivariate Logistic Regression) classifier. | Class | cc.mallet.classify | Mallet |
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| MaxEntFLGEConstraints | Abstract expectation constraint for use with Generalized Expectation (GE). | Class | cc.mallet.classify.constraints.ge | Mallet |
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| MaxEntFLPRConstraints | Abstract expectation constraint for use with Posterior Regularization (PR). | Class | cc.mallet.classify.constraints.pr | Mallet |
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| MaxEntGEConstraint | Interface for expectation constraints for use with Generalized Expectation (GE). | Interface | cc.mallet.classify.constraints.ge | Mallet |
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| MaxEntGERangeTrainer | Training of MaxEnt models with labeled features using Generalized Expectation Criteria. | Class | cc.mallet.classify | Mallet |
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| MaxEntGETrainer | Training of MaxEnt models with labeled features using Generalized Expectation Criteria. | Class | cc.mallet.classify | Mallet |
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| MaxEntKLFLGEConstraints | Expectation constraint for use with GE. | Class | cc.mallet.classify.constraints.ge | Mallet |
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| MaxEntL1Trainer | | Class | cc.mallet.classify | Mallet |
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| MaxEntL2FLGEConstraints | Expectation constraint for use with GE. | Class | cc.mallet.classify.constraints.ge | Mallet |
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| MaxEntL2FLPRConstraints | Expectation constraint for use with Posterior Regularization (PR). | Class | cc.mallet.classify.constraints.pr | Mallet |
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| MaxEntOptimizableByGE | Nested Class SummaryNested classes/interfaces inherited from interface cc. | Class | cc.mallet.classify | Mallet |
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| MaxEntOptimizableByLabelDistribution | Nested Class SummaryNested classes/interfaces inherited from interface cc. | Class | cc.mallet.classify | Mallet |
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| MaxEntOptimizableByLabelLikelihood | Nested Class SummaryNested classes/interfaces inherited from interface cc. | Class | cc.mallet.classify | Mallet |
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| MaxEntPRConstraint | Interface for expectation constraints for use with Posterior Regularization (PR). | Interface | cc.mallet.classify.constraints.pr | Mallet |
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| MaxEntPRTrainer | Penalty (soft) version of Posterior Regularization (PR) for training MaxEnt. | Class | cc.mallet.classify | Mallet |
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| MaxEntRangeL2FLGEConstraints | Expectation constraint for use with GE. | Class | cc.mallet.classify.constraints.ge | Mallet |
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| MaxEntTrainer | The trainer for a Maximum Entropy classifier. | Class | cc.mallet.classify | Mallet |
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| MCMaxEnt | Maximum Entropy classifier. | Class | cc.mallet.classify | Mallet |
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| MCMaxEntTrainer | The trainer for a Maximum Entropy classifier. | Class | cc.mallet.classify | Mallet |
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| NaiveBayes | A classifier that classifies instances according to the NaiveBayes method. | Class | cc.mallet.classify | Mallet |
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| NaiveBayesEMTrainer | | Class | cc.mallet.classify | Mallet |
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| NaiveBayesTrainer | Class used to generate a NaiveBayes classifier from a set of training data. | Class | cc.mallet.classify | Mallet |
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| NaiveBayesTrainer .Factory | Constructor SummaryNaiveBayesTrainer. | Class | cc.mallet.classify.NaiveBayesTrainer | Mallet |
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| PRAuxClassifier | Auxiliary model (q) for E-step/I-projection in PR training. | Class | cc.mallet.classify | Mallet |
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| PRAuxClassifierOptimizable | Optimizable for training auxiliary model (q) for E-step/I-projection in PR training. | Class | cc.mallet.classify | Mallet |
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| RankMaxEnt | Rank Maximum Entropy classifier. | Class | cc.mallet.classify | Mallet |
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| RankMaxEntTrainer | The trainer for a RankMaxEnt classifier. | Class | cc.mallet.classify | Mallet |
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| SvmLight2Classify | Command line tool for classifying a sequence of instances directly from text input, without creating an instance list. | Class | cc.mallet.classify.tui | Mallet |
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| SvmLight2Vectors | Command line import tool for loading a sequence of instances from an SVMLight feature-value pair file, with one instance | Class | cc.mallet.classify.tui | Mallet |
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| TestClassifiers | Constructor SummaryTestClassifiers(java. | Class | cc.mallet.classify.tests | Mallet |
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| TestMaxEntTrainer | Constructor SummaryTestMaxEntTrainer(java. | Class | cc.mallet.classify.tests | Mallet |
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| TestNaiveBayes | Constructor SummaryTestNaiveBayes(java. | Class | cc.mallet.classify.tests | Mallet |
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| TestStaticParameters | | Class | cc.mallet.classify.tests | Mallet |
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| TestStaticParameters .Factory | | Class | cc.mallet.classify.tests.TestStaticParameters | Mallet |
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| Text2Classify | Command line tool for classifying a sequence of instances directly from text input, without | Class | cc.mallet.classify.tui | Mallet |
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| Text2Vectors | Convert document files into vectors (a persistent instance list). | Class | cc.mallet.classify.tui | Mallet |
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| Trial | Stores the results of classifying a collection of Instances, and provides many methods for evaluating the results. | Class | cc.mallet.classify | Mallet |
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| Vectors2Classify | Classify documents, run trials, print statistics from a vector file. | Class | cc.mallet.classify.tui | Mallet |
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| Vectors2FeatureConstraints | Create "feature constraints" from data for use in GE training. | Class | cc.mallet.classify.tui | Mallet |
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| Vectors2Info | Diagnostic facilities for a vector file. | Class | cc.mallet.classify.tui | Mallet |
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| Vectors2Vectors | A command-line tool for manipulating InstanceLists. | Class | cc.mallet.classify.tui | Mallet |
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| Winnow | Classification methods of Winnow2 algorithm. | Class | cc.mallet.classify | Mallet |
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| WinnowTrainer | An implementation of the training methods of a Winnow2 on-line classifier. | Class | cc.mallet.classify | Mallet |