Uses of Class
cc.mallet.classify.Classification

Packages that use Classification

cc.mallet.classify	Classes for training and classifying instances.
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.types	Fundamental MALLET types, including FeatureVector, Instance, Label etc.

Uses of Classification in cc.mallet.classify

Methods in cc.mallet.classify that return Classification

Classification	Winnow.classify(Instance instance) Classifies an instance using Winnow's weights
Classification	RankMaxEnt.classify(Instance instance)
Classification	PRAuxClassifier.classify(Instance instance)
Classification	NaiveBayes.classify(Instance instance) Classify an instance using NaiveBayes according to the trained data.
Classification	MCMaxEnt.classify(Instance instance)
Classification	MaxEnt.classify(Instance instance)
Classification	DecisionTree.classify(Instance instance)
Classification	ConfidencePredictingClassifier.classify(Instance instance)
Classification	ClassifierEnsemble.classify(Instance instance)
abstract Classification	Classifier.classify(Instance instance)
Classification	C45.classify(Instance instance)
Classification	BalancedWinnow.classify(Instance instance) Classifies an instance using BalancedWinnow's weights
Classification	BaggingClassifier.classify(Instance inst)
Classification	AdaBoostM2.classify(Instance inst)
Classification	AdaBoost.classify(Instance inst)
Classification[]	Classifier.classify(Instance[] instances)
Classification	AdaBoostM2.classify(Instance inst, int numWeakClassifiersToUse) Classify the given instance using only the first numWeakClassifiersToUse classifiers trained during boosting
Classification	AdaBoost.classify(Instance inst, int numWeakClassifiersToUse) Classify the given instance using only the first numWeakClassifiersToUse classifiers trained during boosting
Classification	Classifier.classify(java.lang.Object obj) Pipe the object through this classifier's pipe, then classify the resulting instance.

Methods in cc.mallet.classify that return types with arguments of type Classification

java.util.ArrayList<Classification>

Classifier.classify(InstanceList instances)

Methods in cc.mallet.classify with parameters of type Classification

boolean	Trial.add(Classification c)
void	Trial.add(int index, Classification c)

Method parameters in cc.mallet.classify with type arguments of type Classification

boolean	Trial.addAll(java.util.Collection<? extends Classification> collection)
boolean	Trial.addAll(int index, java.util.Collection<? extends Classification> collection)

Uses of Classification in cc.mallet.pipe

Methods in cc.mallet.pipe that return Classification

Classification	AddClassifierTokenPredictions.TokenClassifiers.classify(Instance instance)
Classification	AddClassifierTokenPredictions.TokenClassifiers.classify(Instance instance, boolean useOutOfFold)

Uses of Classification in cc.mallet.share.upenn

Methods in cc.mallet.share.upenn that return Classification

static Classification[]	MaxEntShell.classify(Classifier classifier, java.util.Iterator<Instance> data) Compute the maxent classifications for unlabeled instances given by an iterator.
static Classification	MaxEntShell.classify(Classifier classifier, java.lang.String[] features) Compute the maxent classification of an instance.
static Classification[]	MaxEntShell.classify(Classifier classifier, java.lang.String[][] features) Compute the maxent classifications of an array of instances

Uses of Classification in cc.mallet.types

Methods in cc.mallet.types with parameters of type Classification

void	ROCData.add(Classification classification) Adds classification results to the ROC data

Constructors in cc.mallet.types with parameters of type Classification

ExpGain(InstanceList ilist, Classification[] classifications, double gaussianPriorVariance)

GradientGain(InstanceList ilist, Classification[] classifications)

KLGain(InstanceList ilist, Classification[] classifications)