Uses of Package
cc.mallet.classify
-
Packages that use cc.mallet.classify Package Description 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 Class Description AdaBoost AdaBoost Robert E.AdaBoostM2 AdaBoostM2BaggingClassifier 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.MostFrequentClassifier A Classifier that will return the most frequent class label based on a training set.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 PRAuxClassifier Auxiliary model (q) for E-step/I-projection in PR training.RandomClassifier A Classifier that will return a randomly selected class label.Winnow Classification methods of Winnow2 algorithm. -
Classes in cc.mallet.classify used by cc.mallet.classify.evaluate Class Description 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 Class Description Classifier Abstract parent of all Classifiers. -
Classes in cc.mallet.classify used by cc.mallet.fst.confidence Class Description MaxEnt Maximum Entropy (AKA Multivariate Logistic Regression) classifier. -
Classes in cc.mallet.classify used by cc.mallet.pipe Class Description 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 Class Description Classification The result of classifying a single instance.Classifier Abstract parent of all Classifiers. -
Classes in cc.mallet.classify used by cc.mallet.topics Class Description MaxEnt Maximum Entropy (AKA Multivariate Logistic Regression) classifier. -
Classes in cc.mallet.classify used by cc.mallet.types Class Description 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.