private static LinguisticObjectDetectionMetrics _getCorrectedMetrics(LinguisticObjectDetectionMetrics metrics)
{
return new LinguisticObjectDetectionMetrics
{
CorrectDetectionsCount = metrics.CorrectDetectionsCount,
Type = metrics.Type,
TargetWordsCount = metrics.TargetWordsCount,
EssentialErrorIndexes = metrics.EssentialErrorIndexes,
EssentialErrors = metrics.EssentialErrors,
MissedEssentialWordIndexes = metrics.MissedEssentialWordIndexes,
MissedEssentialWords = metrics.MissedEssentialWords,
MissedNonEssentialWordIndexes = metrics.MissedNonEssentialWordIndexes,
MissedNonEssentialWords = metrics.MissedNonEssentialWords,
NonEssentialErrorIndexes = metrics.NonEssentialErrorIndexes,
NonEssentialErrors = metrics.NonEssentialErrors,
SampleIndex = metrics.SampleIndex,
SampleWordIndexes = metrics.SampleWordIndexes,
SampleWords = metrics.SampleWords,
SampleWordsCount = metrics.SampleWordsCount,
SurplusEssentialWordIndexes = metrics.SurplusEssentialWordIndexes,
SurplusEssentialWords = metrics.SurplusEssentialWords,
SurplusNonEssentialWordIndexes = metrics.SurplusNonEssentialWordIndexes,
SurplusNonEssentialWords = metrics.SurplusNonEssentialWords,
TargetIndex = metrics.TargetIndex,
TargetWordIndexes = metrics.TargetWordIndexes,
TargetWords = metrics.TargetWords,
DetectionQuality = 1d
};
}
private static bool _isMatch(ClasterizedSentenceError error, LinguisticObjectDetectionMetrics metrics)
{
if (error.DetectedWordsCount != metrics.TargetWordsCount ||
error.SampleWordsCount != metrics.SampleWordsCount || error.ErrorType != metrics.Type)
{
return false;
}
var metricsSampleWords = Enumerable.Zip(metrics.SampleWords, metrics.SampleWordIndexes,
(s, i) => String.Format("{0} ({1})", s, i)).ToList();
var metricsDetectedWords = Enumerable.Zip(metrics.TargetWords, metrics.TargetWordIndexes,
(s, i) => String.Format("{0} ({1})", s, i)).ToList();
return !metricsSampleWords.Except(error.SampleWords).Any() &&
!metricsDetectedWords.Except(error.DetectedWords).Any() &&
!error.SampleWords.Except(metricsSampleWords).Any() &&
!error.DetectedWords.Except(metricsDetectedWords).Any();
}
private void _fillMetrics(LinguisticObjectDetectionMetrics m, bool wasEmulated)
{
_addValue(SampleWordsCount, m.SampleWordsCount);
_addValue(SampleWordIndexes, _indexedWords(m.SampleWordIndexes, m.SampleWords));
_addValue(AutoWordsCount, m.TargetWordsCount);
_addValue(AutoWordsIndexes, _indexedWords(m.TargetWordIndexes, m.TargetWords));
_addValue(NonEssentialErrors, m.NonEssentialErrors.Length);
_addValue(NonEssentialErrorIndexes, _indexedWords(m.NonEssentialErrorIndexes, m.NonEssentialErrors));
_addValue(EssentialErrors, m.EssentialErrors.Length);
_addValue(EssentialErrorIndexes, _indexedWords(m.EssentialErrorIndexes, m.EssentialErrors));
_addValue(SurplusNonEssentialWords, m.SurplusNonEssentialWords.Length);
_addValue(SurplusNonEssentialWordIndexes, _indexedWords(m.SurplusNonEssentialWordIndexes, m.SurplusNonEssentialWords));
_addValue(MissedNonEssentialWords, m.MissedNonEssentialWords.Length);
_addValue(MissedNonEssentialWordIndexes, _indexedWords(m.MissedNonEssentialWordIndexes, m.MissedNonEssentialWords));
_addValue(SurplusEssentialWords, m.SurplusEssentialWords.Length);
_addValue(SurplusEssentialWordIndexes, _indexedWords(m.SurplusEssentialWordIndexes, m.SurplusEssentialWords));
_addValue(MissedEssentialWords, m.MissedEssentialWords.Length);
_addValue(MissedEssentialWordIndexes, _indexedWords(m.MissedEssentialWordIndexes, m.MissedEssentialWords));
_addValue(CorrectDetectionsCount, m.CorrectDetectionsCount);
_addValue(DetectionQuality, m.DetectionQuality, wasEmulated);
}