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Packages that use BaseStorable | |
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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.eval | This packages provides functionality for evaluating results of classifiers and extractors. |
de.fu_berlin.ties.extract | This package handles information extraction and entity recognition. |
Uses of BaseStorable in de.fu_berlin.ties.classify |
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Subclasses of BaseStorable in de.fu_berlin.ties.classify | |
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class |
Prediction
A prediction, wrapping the predicted class and the probability of the prediction. |
Uses of BaseStorable in de.fu_berlin.ties.classify.winnow |
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Subclasses of BaseStorable 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 BaseStorable in de.fu_berlin.ties.eval |
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Subclasses of BaseStorable in de.fu_berlin.ties.eval | |
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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 |
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Subclasses of BaseStorable in de.fu_berlin.ties.extract | |
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class |
Extraction
Extends a Prediction by also storing the
extracted text and location data. |
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