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Packages that use Prediction | |
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. |
Uses of Prediction in de.fu_berlin.ties.classify |
Methods in de.fu_berlin.ties.classify that return Prediction | |
Prediction |
PredictionDistribution.best()
Returns the best (most probably) prediction in this distribution. |
Methods in de.fu_berlin.ties.classify with parameters of type Prediction | |
void |
PredictionDistribution.add(Prediction pred)
Adds a new prediction to this distribution. |
Constructors in de.fu_berlin.ties.classify with parameters of type Prediction | |
PredictionDistribution(Prediction pred)
Creates a new instance, adding a prediction. |
Uses of Prediction in de.fu_berlin.ties.classify.winnow |
Subclasses of Prediction in de.fu_berlin.ties.classify.winnow | |
class |
WinnowPrediction
A prediction that also stores a raw score (activation value) and a sigmoid score, as calculated by the Winnow
algorithm. |
Uses of Prediction in de.fu_berlin.ties.extract |
Subclasses of Prediction in de.fu_berlin.ties.extract | |
class |
Extraction
Extends a Prediction by also storing the
extracted text and location data.
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