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See:
Description
Interface Summary | |
---|---|
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. |
FeatureCountView | Provides a read-only view on the statistics calculated by the
FeatureCount class and the underlying raw
counts. |
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. |
Class Summary | |
---|---|
Accuracy | Counts true and false items and measures the accuracy: A = true / (true + false). |
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. |
FMetrics | This class manages and updates evaluation results, calculating precision (P), recall (R) and F-measure (F). |
MultiFMetrics | Instances of this class manage multiple
FMetrics for different types. |
ReEvaluator | A processor that can be used to re-evaluate the contents of an
EvaluatedExtractionContainer . |
ShuffleGenerator | Arranges all input arguments (for example, files or URLs) in random "shuffles", so they can subsequently processed in random (but fixed) order. |
SummaryFMetrics | FMetrics extension that additionally
calculates a StatisticalSummary of the
intermediate precision, recall, and F1 metrics resulting from different
update operations. |
This packages provides functionality for evaluating results of classifiers and extractors.
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