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#61 - Implement variable detection component using dkpro-tc
- added variable detection model
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#Bipartition threshold used to train this model (only multi-label classification) | ||
#Tue Dec 19 17:35:02 CET 2017 | ||
threshold=0.5 |
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No | ||
Yes |
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...sFolder/eu/openminted/uc/socialsciences/variabledetection/features/LuceneLemmaNGram.class
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...ction/featureClassFolder/org/dkpro/tc/features/entityrecognition/NEFeatureExtractor.class
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...odels/variable-detection/featureClassFolder/org/dkpro/tc/features/ngram/LuceneNGram.class
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...s/variable-detection/featureClassFolder/org/dkpro/tc/features/ngram/LuceneSkipNGram.class
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data/models/variable-detection/featureExtractorConfiguration.txt
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org.dkpro.tc.features.ngram.LuceneNGram ngramMinN=1 uniqueFeatureExtractorName=LuceneNGram8801365502936 ngramUseTopK=50 ngramMaxN=3 | ||
eu.openminted.uc.socialsciences.variabledetection.features.LuceneLemmaNGram ngramMinN=2 uniqueFeatureExtractorName=LuceneLemmaNGram8801365738531 ngramUseTopK=50 ngramMaxN=3 | ||
org.dkpro.tc.features.ngram.LuceneSkipNGram ngramMinN=2 uniqueFeatureExtractorName=LuceneSkipNGram8801365971564 ngramUseTopK=50 ngramMaxN=3 | ||
org.dkpro.tc.features.entityrecognition.NEFeatureExtractor uniqueFeatureExtractorName=NEFeatureExtractor8801366308006 |
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#Feature mode used to train this model | ||
#Wed Dec 20 12:03:17 CET 2017 | ||
featureMode=document |
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#Learning mode used to train this model | ||
#Wed Dec 20 12:03:17 CET 2017 | ||
learningMode=singleLabel |
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org.dkpro.tc.ml.weka.WekaClassificationAdapter |
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targetLocation=lucene |
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sourceLocation=lucene |
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#Version of DKPro TC used to train this model | ||
#Tue Dec 19 17:35:02 CET 2017 | ||
TcVersion=0.9.0 |
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