Uses of Class
de.fu_berlin.ties.io.BaseStorable

Packages that use BaseStorable
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.eval This packages provides functionality for evaluating results of classifiers and extractors. 
de.fu_berlin.ties.extract This package handles information extraction and entitiy recognition. 
 

Uses of BaseStorable in de.fu_berlin.ties.classify
 

Subclasses of BaseStorable in de.fu_berlin.ties.classify
 class Prediction
          A prediction, wrapping the predicted class and the probability of the prediction.
 

Uses of BaseStorable in de.fu_berlin.ties.classify.winnow
 

Subclasses of BaseStorable 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 BaseStorable in de.fu_berlin.ties.eval
 

Subclasses of BaseStorable in de.fu_berlin.ties.eval
 class Accuracy
          Counts true and false items and measures the accuracy: A = true / (true + false).
 class FeatureCount
          Keeps track of the average number of features and of unique features in context representations and of the average number of contexts in documents.
 class FMetrics
          This class manages and updates evaluation results, calculating precision (P), recall (R) and F-measure (F).
 class SummaryFMetrics
          FMetrics extension that additionally calculates a StatisticalSummary of the intermediate precision, recall, and F1 metrics resulting from different update operations.
 

Uses of BaseStorable in de.fu_berlin.ties.extract
 

Subclasses of BaseStorable in de.fu_berlin.ties.extract
 class Extraction
          Extends a Prediction by also storing the extracted text and location data.
 



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