Uses of Package
de.fu_berlin.ties.eval

Packages that use de.fu_berlin.ties.eval
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. 
de.fu_berlin.ties.filter This packages provides generic filtering functionality and an implementation for sentence filtering. 
 

Classes in de.fu_berlin.ties.eval used by de.fu_berlin.ties.classify
EvalStatus
          Type-safe enumeration of possible evaluation states for predictions (unknown, correct, spurious etc.) and answer keys (missing etc.).
 

Classes in de.fu_berlin.ties.eval used by de.fu_berlin.ties.classify.winnow
EvalStatus
          Type-safe enumeration of possible evaluation states for predictions (unknown, correct, spurious etc.) and answer keys (missing etc.).
 

Classes in de.fu_berlin.ties.eval used by de.fu_berlin.ties.eval
AccuracyView
          Provides a read-only view on Accuracy statistics and the underlying raw counts.
EvalInput
          Classes implementing this interface provide input for calculating evaluation metrics: true positives, false negatives and false positives.
EvalStatus
          Type-safe enumeration of possible evaluation states for predictions (unknown, correct, spurious etc.) and answer keys (missing etc.).
FeatureCountView
          Provides a read-only view on the statistics calculated by the FeatureCount class and the underlying raw counts.
FMetrics
          This class manages and updates evaluation results, calculating precision (P), recall (R) and F-measure (F).
FMetricsSummary
          Implementations of this interface can show statistical summaries of precision, recall, and F1 metrics updated in several operations.
FMetricsView
          A read-only view of the evaluation results calculated by the FMetrics class and the underlying raw counts.
MultiFMetricsView
          A read-only view of multiple FMetrics and the sums and averages calculated over them.
 

Classes in de.fu_berlin.ties.eval used by de.fu_berlin.ties.extract
Accuracy
          Counts true and false items and measures the accuracy: A = true / (true + false).
AccuracyView
          Provides a read-only view on Accuracy statistics and the underlying raw counts.
EvalStatus
          Type-safe enumeration of possible evaluation states for predictions (unknown, correct, spurious etc.) and answer keys (missing etc.).
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.
FeatureCountView
          Provides a read-only view on the statistics calculated by the FeatureCount class and the underlying raw counts.
FMetricsView
          A read-only view of the evaluation results calculated by the FMetrics class and the underlying raw counts.
MultiFMetricsView
          A read-only view of multiple FMetrics and the sums and averages calculated over them.
 

Classes in de.fu_berlin.ties.eval used by de.fu_berlin.ties.filter
FMetricsView
          A read-only view of the evaluation results calculated by the FMetrics class and the underlying raw counts.
 



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