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#Cc.mallet.classify Classes and Interfaces - 85 results found.
NameDescriptionTypePackageFramework
AccuracyCoverageMethods for calculating and displaying the accuracy v.Classcc.mallet.classify.evaluateMallet
AdaBoost Robert E.Classcc.mallet.classifyMallet
AdaBoostM2 Yoav Freund and Robert E.Classcc.mallet.classifyMallet
AdaBoostM2TrainerThis version of AdaBoost can handle multi-class problems.Classcc.mallet.classifyMallet
AdaBoostTrainerThis version of AdaBoost should be used only for binary classification.Classcc.mallet.classifyMallet
BaggingClassifierClasscc.mallet.classifyMallet
BaggingTrainerClasscc.mallet.classifyMallet
BalancedWinnowClassification methods of BalancedWinnow algorithm.Classcc.mallet.classifyMallet
BalancedWinnowTrainerAn implementation of the training methods of a BalancedWinnow on-line classifier.Classcc.mallet.classifyMallet
BoostableInterfacecc.mallet.classifyMallet
C45A C4.Classcc.mallet.classifyMallet
C45 .NodeSee Also:Serialized FormConstructor SummaryC45.Classcc.mallet.classify.C45Mallet
C45TrainerA C4.Classcc.mallet.classifyMallet
Calo2ClassifyClassify documents, run trials, print statistics from a vector file.Classcc.mallet.classify.tuiMallet
ClassificationThe result of classifying a single instance.Classcc.mallet.classifyMallet
ClassifierAbstract parent of all Classifiers.Classcc.mallet.classifyMallet
Classifier2InfoDiagnostic facilities for a classifier.Classcc.mallet.classify.tuiMallet
ClassifierAccuracyEvaluatorClasscc.mallet.classifyMallet
ClassifierEnsembleClassifer for an ensemble of classifers, combined with learned weights.Classcc.mallet.classifyMallet
ClassifierEnsembleTrainerClasscc.mallet.classifyMallet
ClassifierEvaluatorClasscc.mallet.classifyMallet
ClassifierTrainerEach ClassifierTrainer trains one Classifier based on various interfaces for consuming training data.Classcc.mallet.classifyMallet
ClassifierTrainer .ByActiveLearningFor active learning, in which this trainer will select certain instances and request that the Labeler instance label them.Interfacecc.mallet.classify.ClassifierTrainerMallet
ClassifierTrainer .ByIncrementsFor various kinds of online learning by batches, where training instances are presented, consumed for learning immediately.Interfacecc.mallet.classify.ClassifierTrainerMallet
ClassifierTrainer .ByInstanceIncrementsFor online learning that can operate on one instance at a time.Interfacecc.mallet.classify.ClassifierTrainerMallet
ClassifierTrainer .ByOptimizationInterfacecc.mallet.classify.ClassifierTrainerMallet
ClassifierTrainer .FactoryInstances of a Factory know how to create new ClassifierTrainers to apply to new Classifiers.Classcc.mallet.classify.ClassifierTrainerMallet
ConfidencePredictingClassifierSee Also:Serialized FormFields inherited from class cc.Classcc.mallet.classifyMallet
ConfidencePredictingClassifierTrainerNested Class SummaryNested classes/interfaces inherited from class cc.Classcc.mallet.classifyMallet
ConfusionMatrixCalculates and prints confusion matrix, accuracy, and precision for a given clasification trial.Classcc.mallet.classify.evaluateMallet
Csv2ClassifyCommand line tool for classifying a sequence of instances directly from text input, withoutClasscc.mallet.classify.tuiMallet
Csv2VectorsCommand line import tool for loading a sequence of instances from a single file, with one instance Classcc.mallet.classify.tuiMallet
DecisionTreeDecision Tree classifier.Classcc.mallet.classifyMallet
DecisionTree .NodeSee Also:Serialized FormConstructor SummaryDecisionTree.Classcc.mallet.classify.DecisionTreeMallet
DecisionTreeTrainerA decision tree learner, roughly ID3, but only to a fixed given depth in all branches.Classcc.mallet.classifyMallet
DecisionTreeTrainer .FactoryClasscc.mallet.classify.DecisionTreeTrainerMallet
DocumentClassifierClasscc.mallet.classify.examplesMallet
FeatureConstraintUtilUtility functions for creating feature constraints that can be used with GE training.Classcc.mallet.classifyMallet
FeatureSelectingClassifierTrainerAdaptor for adding feature selection to a classifier trainer.Classcc.mallet.classifyMallet
GraphFramework for standard graph.Classcc.mallet.classify.evaluateMallet
Graph2Methods for a 2-D graphSee Also:Serialized FormClasscc.mallet.classify.evaluateMallet
GraphItemHolds data for a point on a graphConstructor SummaryGraphItem(java.Classcc.mallet.classify.evaluateMallet
MaxEntMaximum Entropy (AKA Multivariate Logistic Regression) classifier.Classcc.mallet.classifyMallet
MaxEntFLGEConstraintsAbstract expectation constraint for use with Generalized Expectation (GE).Classcc.mallet.classify.constraints.geMallet
MaxEntFLPRConstraintsAbstract expectation constraint for use with Posterior Regularization (PR).Classcc.mallet.classify.constraints.prMallet
MaxEntGEConstraintInterface for expectation constraints for use with Generalized Expectation (GE).Interfacecc.mallet.classify.constraints.geMallet
MaxEntGERangeTrainerTraining of MaxEnt models with labeled features using Generalized Expectation Criteria.Classcc.mallet.classifyMallet
MaxEntGETrainerTraining of MaxEnt models with labeled features using Generalized Expectation Criteria.Classcc.mallet.classifyMallet
MaxEntKLFLGEConstraintsExpectation constraint for use with GE.Classcc.mallet.classify.constraints.geMallet
MaxEntL1TrainerClasscc.mallet.classifyMallet
MaxEntL2FLGEConstraintsExpectation constraint for use with GE.Classcc.mallet.classify.constraints.geMallet
MaxEntL2FLPRConstraintsExpectation constraint for use with Posterior Regularization (PR).Classcc.mallet.classify.constraints.prMallet
MaxEntOptimizableByGENested Class SummaryNested classes/interfaces inherited from interface cc.Classcc.mallet.classifyMallet
MaxEntOptimizableByLabelDistributionNested Class SummaryNested classes/interfaces inherited from interface cc.Classcc.mallet.classifyMallet
MaxEntOptimizableByLabelLikelihoodNested Class SummaryNested classes/interfaces inherited from interface cc.Classcc.mallet.classifyMallet
MaxEntPRConstraintInterface for expectation constraints for use with Posterior Regularization (PR).Interfacecc.mallet.classify.constraints.prMallet
MaxEntPRTrainerPenalty (soft) version of Posterior Regularization (PR) for training MaxEnt.Classcc.mallet.classifyMallet
MaxEntRangeL2FLGEConstraintsExpectation constraint for use with GE.Classcc.mallet.classify.constraints.geMallet
MaxEntTrainerThe trainer for a Maximum Entropy classifier.Classcc.mallet.classifyMallet
MCMaxEntMaximum Entropy classifier.Classcc.mallet.classifyMallet
MCMaxEntTrainerThe trainer for a Maximum Entropy classifier.Classcc.mallet.classifyMallet
NaiveBayesA classifier that classifies instances according to the NaiveBayes method.Classcc.mallet.classifyMallet
NaiveBayesEMTrainerClasscc.mallet.classifyMallet
NaiveBayesTrainerClass used to generate a NaiveBayes classifier from a set of training data.Classcc.mallet.classifyMallet
NaiveBayesTrainer .FactoryConstructor SummaryNaiveBayesTrainer.Classcc.mallet.classify.NaiveBayesTrainerMallet
PRAuxClassifierAuxiliary model (q) for E-step/I-projection in PR training.Classcc.mallet.classifyMallet
PRAuxClassifierOptimizableOptimizable for training auxiliary model (q) for E-step/I-projection in PR training.Classcc.mallet.classifyMallet
RankMaxEntRank Maximum Entropy classifier.Classcc.mallet.classifyMallet
RankMaxEntTrainerThe trainer for a RankMaxEnt classifier.Classcc.mallet.classifyMallet
SvmLight2ClassifyCommand line tool for classifying a sequence of instances directly from text input, without creating an instance list.Classcc.mallet.classify.tuiMallet
SvmLight2VectorsCommand line import tool for loading a sequence of instances from an SVMLight feature-value pair file, with one instance Classcc.mallet.classify.tuiMallet
TestClassifiersConstructor SummaryTestClassifiers(java.Classcc.mallet.classify.testsMallet
TestMaxEntTrainerConstructor SummaryTestMaxEntTrainer(java.Classcc.mallet.classify.testsMallet
TestNaiveBayesConstructor SummaryTestNaiveBayes(java.Classcc.mallet.classify.testsMallet
TestStaticParametersClasscc.mallet.classify.testsMallet
TestStaticParameters .FactoryClasscc.mallet.classify.tests.TestStaticParametersMallet
Text2ClassifyCommand line tool for classifying a sequence of instances directly from text input, withoutClasscc.mallet.classify.tuiMallet
Text2VectorsConvert document files into vectors (a persistent instance list).Classcc.mallet.classify.tuiMallet
TrialStores the results of classifying a collection of Instances, and provides many methods for evaluating the results.Classcc.mallet.classifyMallet
Vectors2ClassifyClassify documents, run trials, print statistics from a vector file.Classcc.mallet.classify.tuiMallet
Vectors2FeatureConstraintsCreate "feature constraints" from data for use in GE training.Classcc.mallet.classify.tuiMallet
Vectors2InfoDiagnostic facilities for a vector file.Classcc.mallet.classify.tuiMallet
Vectors2VectorsA command-line tool for manipulating InstanceLists.Classcc.mallet.classify.tuiMallet
WinnowClassification methods of Winnow2 algorithm.Classcc.mallet.classifyMallet
WinnowTrainerAn implementation of the training methods of a Winnow2 on-line classifier.Classcc.mallet.classifyMallet