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Packages that use Prediction | |
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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 entity recognition. |
de.fu_berlin.ties.extract.amend | This package provides code for reanalysing proposed extractions and performing suitable amendments to improve results. |
Uses of Prediction in de.fu_berlin.ties.classify |
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Methods in de.fu_berlin.ties.classify that return Prediction | |
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Prediction |
PredictionDistribution.best()
Returns the best (most probably) prediction in this distribution. |
Prediction |
PredictionDistribution.getPredictionForType(String type)
Convenience method that looks up the prediction for a given type. |
Methods in de.fu_berlin.ties.classify that return types with arguments of type Prediction | |
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Iterator<Prediction> |
PredictionDistribution.iterator()
Returns an iterator over the predictions in this distribution, in descending order (most probably class comes first). |
Methods in de.fu_berlin.ties.classify with parameters of type Prediction | |
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void |
PredictionDistribution.add(Prediction pred)
Adds a new prediction to this distribution. |
int |
PredictionComparator.compare(Prediction pred1,
Prediction pred2)
Compares two Prediction s. |
Constructors in de.fu_berlin.ties.classify with parameters of type Prediction | |
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PredictionDistribution(Prediction pred)
Creates a new instance, adding a prediction. |
Uses of Prediction in de.fu_berlin.ties.classify.winnow |
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Subclasses of Prediction in de.fu_berlin.ties.classify.winnow | |
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class |
WinnowPrediction
A prediction that also stores a raw score (activation value) and a normalized score, as calculated by the Winnow
algorithm. |
Uses of Prediction in de.fu_berlin.ties.extract |
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Subclasses of Prediction in de.fu_berlin.ties.extract | |
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class |
Extraction
Extends a Prediction by also storing the
extracted text and location data. |
Uses of Prediction in de.fu_berlin.ties.extract.amend |
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Constructor parameters in de.fu_berlin.ties.extract.amend with type arguments of type Prediction | |
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BeginEndReextractor.PositivePredictionsMap(Map<Integer,LinkedHashMap<String,Prediction>> m)
Creates a new instance. |
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