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

PRAuxClassifier
Auxiliary model (q) for E-step/I-projection in PR training.

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.