Uses of Class
de.fu_berlin.ties.classify.Prediction

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.
 int PredictionComparator.compare(Prediction pred1, Prediction pred2)
          Compares two Predictions.
 

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.
 



Copyright © 2003-2004 Christian Siefkes. All Rights Reserved.