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Packages that use de.fu_berlin.ties.classify | |
de.fu_berlin.ties.classify | This package provides functionality for classification of texts and feature vectors. |
de.fu_berlin.ties.classify.winnow | This package contains the Winnow classification algorithm and related algorithms and classes. |
de.fu_berlin.ties.extract | This package handles information extraction and entitiy recognition. |
Classes in de.fu_berlin.ties.classify used by de.fu_berlin.ties.classify | |
Classifier
Classes implementing this interface must be able to classify items represented by feature vectors. |
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Prediction
A prediction, wrapping the predicted class and the probability of the prediction. |
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PredictionDistribution
A distribution over the classes predicted by a classifier. |
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TrainableClassifier
Classifiers extending this abstract class must provide a training mechanism by implementing the TrainableClassifier.doTrain(FeatureVector, String) method. |
Classes in de.fu_berlin.ties.classify used by de.fu_berlin.ties.classify.winnow | |
Classifier
Classes implementing this interface must be able to classify items represented by feature vectors. |
|
Prediction
A prediction, wrapping the predicted class and the probability of the prediction. |
|
PredictionDistribution
A distribution over the classes predicted by a classifier. |
|
TrainableClassifier
Classifiers extending this abstract class must provide a training mechanism by implementing the TrainableClassifier.doTrain(FeatureVector, String) method. |
Classes in de.fu_berlin.ties.classify used by de.fu_berlin.ties.extract | |
Classifier
Classes implementing this interface must be able to classify items represented by feature vectors. |
|
Prediction
A prediction, wrapping the predicted class and the probability of the prediction. |
|
TrainableClassifier
Classifiers extending this abstract class must provide a training mechanism by implementing the TrainableClassifier.doTrain(FeatureVector, String) method. |
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