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Packages that use PredictionDistribution | |
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. |
Uses of PredictionDistribution in de.fu_berlin.ties.classify |
Methods in de.fu_berlin.ties.classify that return PredictionDistribution | |
protected PredictionDistribution |
ExternalClassifier.doClassify(FeatureVector features,
Set candidateClasses)
Classifies an item that is represented by a feature vector by choosing the most probable class among a set of candidate classes. |
PredictionDistribution |
TrainableClassifier.classify(FeatureVector features,
Set candidateClasses)
Classifies an item that is represented by a feature vector by choosing the most probable class among a set of candidate classes. |
protected abstract PredictionDistribution |
TrainableClassifier.doClassify(FeatureVector features,
Set candidateClasses)
Classifies an item that is represented by a feature vector by choosing the most probable class among a set of candidate classes. |
PredictionDistribution |
TrainableClassifier.trainOnError(FeatureVector features,
String targetClass,
Set candidateClasses)
Handles error-driven learning ("train only errors"): the specified feature vector is trained into the model only if the predicted class for the feature vector differs from the specified target class. |
PredictionDistribution |
Classifier.classify(FeatureVector features,
Set candidateClasses)
Classifies an item that is represented by a feature vector by choosing the most probable class among a set of candidate classes. |
Methods in de.fu_berlin.ties.classify with parameters of type PredictionDistribution | |
protected boolean |
TrainableClassifier.trainOnErrorHook(PredictionDistribution predDist,
FeatureVector features,
String targetClass,
Set candidateClasses)
Subclasses can implement this hook for more refined error-driven learning. |
Uses of PredictionDistribution in de.fu_berlin.ties.classify.winnow |
Subclasses of PredictionDistribution in de.fu_berlin.ties.classify.winnow | |
class |
WinnowDistribution
A distribution over the classes predicted by a Winnow classifier .
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Methods in de.fu_berlin.ties.classify.winnow that return PredictionDistribution | |
protected PredictionDistribution |
Winnow.doClassify(FeatureVector features,
Set candidateClasses)
Classifies an item that is represented by a feature vector by choosing the most probable class among a set of candidate classes. |
Methods in de.fu_berlin.ties.classify.winnow with parameters of type PredictionDistribution | |
protected boolean |
Winnow.trainOnErrorHook(PredictionDistribution predDist,
FeatureVector features,
String targetClass,
Set candidateClasses)
Hook implementing error-driven learning, promoting and demoting weights as required. |
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