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Packages that use de.fu_berlin.ties.eval | |
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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. |
de.fu_berlin.ties.filter | This packages provides generic filtering and rewriting functionality. |
Classes in de.fu_berlin.ties.eval used by de.fu_berlin.ties.classify | |
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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 | |
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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 | |
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AccuracyView
Provides a read-only view on Accuracy
statistics and the underlying raw counts. |
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EvalInput
Classes implementing this interface provide input for calculating evaluation metrics: true positives, false negatives and false positives. |
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EvalStatus
Type-safe enumeration of possible evaluation states for predictions (unknown, correct, spurious etc.) and answer keys (missing etc.). |
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FeatureCountView
Provides a read-only view on the statistics calculated by the FeatureCount class and the underlying raw
counts. |
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FMetrics
This class manages and updates evaluation results, calculating precision (P), recall (R) and F-measure (F). |
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FMetricsSummary
Implementations of this interface can show statistical summaries of precision, recall, and F1 metrics updated in several operations. |
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FMetricsView
A read-only view of the evaluation results calculated by the FMetrics class and the underlying raw counts. |
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Mistake
Each instance of this class describe a mistake. |
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Mistake.MistakeTypes
The types of mistakes that can occur. |
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MistakeMatrix
Stores the results of a mistake analysis performed by MistakeAnalyzer . |
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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 | |
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Accuracy
Counts true and false items and measures the accuracy: A = true / (true + false). |
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AccuracyView
Provides a read-only view on Accuracy
statistics and the underlying raw counts. |
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EvalStatus
Type-safe enumeration of possible evaluation states for predictions (unknown, correct, spurious etc.) and answer keys (missing etc.). |
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FMetricsView
A read-only view of the evaluation results calculated by the FMetrics class and the underlying raw counts. |
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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 | |
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FMetricsView
A read-only view of the evaluation results calculated by the FMetrics class and the underlying raw counts. |
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