first commit

dkpro_target/models/Ana_p-SMO-C-2.5-NormalizedPolyKernel-E-2.0/bipartitionThreshold.txt

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+#Bipartition threshold used to train this model (only multi-label classification)
+#Mon Sep 25 16:06:42 CEST 2023
+threshold=0.5

dkpro_target/models/Ana_p-SMO-C-2.5-NormalizedPolyKernel-E-2.0/classLabels.txt

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+0
+1

dkpro_target/models/Ana_p-SMO-C-2.5-NormalizedPolyKernel-E-2.0/featureExtractorConfiguration.txt

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+org.dkpro.tc.features.ngram.WordNGram	ngramMinN=1	uniqueFeatureExtractorName=WordNGram26187166286928	ngramUseTopK=2000	ngramMaxN=3
+org.dkpro.tc.features.ngram.CharacterNGram	ngramMinN=2	uniqueFeatureExtractorName=CharacterNGram26187166531803	ngramUseTopK=2000	ngramMaxN=5

dkpro_target/models/Ana_p-SMO-C-2.5-NormalizedPolyKernel-E-2.0/featureMode.txt

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+#Feature mode used to train this model
+#Mon Sep 25 16:06:42 CEST 2023
+featureMode=unit

dkpro_target/models/Ana_p-SMO-C-2.5-NormalizedPolyKernel-E-2.0/learningMode.txt

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+#Learning mode used to train this model
+#Mon Sep 25 16:06:42 CEST 2023
+learningMode=singleLabel

dkpro_target/models/Ana_p-SMO-C-2.5-NormalizedPolyKernel-E-2.0/meta.txt

@@ -0,0 +1 @@
+org.dkpro.tc.ml.weka.WekaAdapter

dkpro_target/models/Ana_p-SMO-C-2.5-NormalizedPolyKernel-E-2.0/metaCollectorOverrides.txt

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+targetLocation=lucene

dkpro_target/models/Ana_p-SMO-C-2.5-NormalizedPolyKernel-E-2.0/metaExtractorOverrides.txt

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+sourceLocation=lucene

dkpro_target/models/Ana_p-SMO-C-2.5-NormalizedPolyKernel-E-2.0/tcVersion.txt

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+#Version of DKPro TC used to train this model
+#Mon Sep 25 16:06:42 CEST 2023
+TcVersion=1.1.0

dkpro_target/models/Ana_q-SMO-C-1.0-NormalizedPolyKernel-E-4.0/bipartitionThreshold.txt

@@ -0,0 +1,3 @@
+#Bipartition threshold used to train this model (only multi-label classification)
+#Mon Sep 25 16:08:16 CEST 2023
+threshold=0.5

dkpro_target/models/Ana_q-SMO-C-1.0-NormalizedPolyKernel-E-4.0/classLabels.txt

@@ -0,0 +1,2 @@
+0
+1

dkpro_target/models/Ana_q-SMO-C-1.0-NormalizedPolyKernel-E-4.0/featureExtractorConfiguration.txt

@@ -0,0 +1,2 @@
+org.dkpro.tc.features.ngram.WordNGram	ngramMinN=1	uniqueFeatureExtractorName=WordNGram26281023249414	ngramUseTopK=10000	ngramMaxN=3
+org.dkpro.tc.features.ngram.CharacterNGram	ngramMinN=2	uniqueFeatureExtractorName=CharacterNGram26281023259954	ngramUseTopK=10000	ngramMaxN=5

dkpro_target/models/Ana_q-SMO-C-1.0-NormalizedPolyKernel-E-4.0/featureMode.txt

@@ -0,0 +1,3 @@
+#Feature mode used to train this model
+#Mon Sep 25 16:08:16 CEST 2023
+featureMode=unit

dkpro_target/models/Ana_q-SMO-C-1.0-NormalizedPolyKernel-E-4.0/learningMode.txt

@@ -0,0 +1,3 @@
+#Learning mode used to train this model
+#Mon Sep 25 16:08:16 CEST 2023
+learningMode=singleLabel

dkpro_target/models/Ana_q-SMO-C-1.0-NormalizedPolyKernel-E-4.0/meta.txt

@@ -0,0 +1 @@
+org.dkpro.tc.ml.weka.WekaAdapter

dkpro_target/models/Ana_q-SMO-C-1.0-NormalizedPolyKernel-E-4.0/metaCollectorOverrides.txt

@@ -0,0 +1 @@
+targetLocation=lucene

dkpro_target/models/Ana_q-SMO-C-1.0-NormalizedPolyKernel-E-4.0/metaExtractorOverrides.txt

@@ -0,0 +1 @@
+sourceLocation=lucene

dkpro_target/models/Ana_q-SMO-C-1.0-NormalizedPolyKernel-E-4.0/tcVersion.txt

@@ -0,0 +1,3 @@
+#Version of DKPro TC used to train this model
+#Mon Sep 25 16:08:16 CEST 2023
+TcVersion=1.1.0

dkpro_target/models/Ana_r-SMO-C-2.5-NormalizedPolyKernel-E-1.0/bipartitionThreshold.txt

@@ -0,0 +1,3 @@
+#Bipartition threshold used to train this model (only multi-label classification)
+#Mon Sep 25 16:09:44 CEST 2023
+threshold=0.5

dkpro_target/models/Ana_r-SMO-C-2.5-NormalizedPolyKernel-E-1.0/classLabels.txt

@@ -0,0 +1,2 @@
+0
+1

dkpro_target/models/Ana_r-SMO-C-2.5-NormalizedPolyKernel-E-1.0/featureExtractorConfiguration.txt

@@ -0,0 +1,2 @@
+org.dkpro.tc.features.ngram.WordNGram	ngramMinN=1	uniqueFeatureExtractorName=WordNGram26374503486335	ngramUseTopK=8000	ngramMaxN=3
+org.dkpro.tc.features.ngram.CharacterNGram	ngramMinN=2	uniqueFeatureExtractorName=CharacterNGram26374503492723	ngramUseTopK=8000	ngramMaxN=5

dkpro_target/models/Ana_r-SMO-C-2.5-NormalizedPolyKernel-E-1.0/featureMode.txt

@@ -0,0 +1,3 @@
+#Feature mode used to train this model
+#Mon Sep 25 16:09:44 CEST 2023
+featureMode=unit

dkpro_target/models/Ana_r-SMO-C-2.5-NormalizedPolyKernel-E-1.0/learningMode.txt

@@ -0,0 +1,3 @@
+#Learning mode used to train this model
+#Mon Sep 25 16:09:44 CEST 2023
+learningMode=singleLabel

dkpro_target/models/Ana_r-SMO-C-2.5-NormalizedPolyKernel-E-1.0/meta.txt

@@ -0,0 +1 @@
+org.dkpro.tc.ml.weka.WekaAdapter

dkpro_target/models/Ana_r-SMO-C-2.5-NormalizedPolyKernel-E-1.0/metaCollectorOverrides.txt

@@ -0,0 +1 @@
+targetLocation=lucene

dkpro_target/models/Ana_r-SMO-C-2.5-NormalizedPolyKernel-E-1.0/metaExtractorOverrides.txt

@@ -0,0 +1 @@
+sourceLocation=lucene

dkpro_target/models/Ana_r-SMO-C-2.5-NormalizedPolyKernel-E-1.0/tcVersion.txt

@@ -0,0 +1,3 @@
+#Version of DKPro TC used to train this model
+#Mon Sep 25 16:09:44 CEST 2023
+TcVersion=1.1.0

dkpro_target/models/Ana_s-SMO-C-2.5-NormalizedPolyKernel-E-2.0/bipartitionThreshold.txt

@@ -0,0 +1,3 @@
+#Bipartition threshold used to train this model (only multi-label classification)
+#Mon Sep 25 16:11:16 CEST 2023
+threshold=0.5

dkpro_target/models/Ana_s-SMO-C-2.5-NormalizedPolyKernel-E-2.0/classLabels.txt

@@ -0,0 +1,2 @@
+0
+1

dkpro_target/models/Ana_s-SMO-C-2.5-NormalizedPolyKernel-E-2.0/featureExtractorConfiguration.txt

@@ -0,0 +1,2 @@
+org.dkpro.tc.features.ngram.WordNGram	ngramMinN=1	uniqueFeatureExtractorName=WordNGram26462656536859	ngramUseTopK=8000	ngramMaxN=3
+org.dkpro.tc.features.ngram.CharacterNGram	ngramMinN=2	uniqueFeatureExtractorName=CharacterNGram26462656543898	ngramUseTopK=8000	ngramMaxN=5

dkpro_target/models/Ana_s-SMO-C-2.5-NormalizedPolyKernel-E-2.0/featureMode.txt

@@ -0,0 +1,3 @@
+#Feature mode used to train this model
+#Mon Sep 25 16:11:16 CEST 2023
+featureMode=unit

dkpro_target/models/Ana_s-SMO-C-2.5-NormalizedPolyKernel-E-2.0/learningMode.txt

@@ -0,0 +1,3 @@
+#Learning mode used to train this model
+#Mon Sep 25 16:11:16 CEST 2023
+learningMode=singleLabel

dkpro_target/models/Ana_s-SMO-C-2.5-NormalizedPolyKernel-E-2.0/meta.txt

@@ -0,0 +1 @@
+org.dkpro.tc.ml.weka.WekaAdapter

dkpro_target/models/Ana_s-SMO-C-2.5-NormalizedPolyKernel-E-2.0/metaCollectorOverrides.txt

@@ -0,0 +1 @@
+targetLocation=lucene

dkpro_target/models/Ana_s-SMO-C-2.5-NormalizedPolyKernel-E-2.0/metaExtractorOverrides.txt

@@ -0,0 +1 @@
+sourceLocation=lucene

dkpro_target/models/Ana_s-SMO-C-2.5-NormalizedPolyKernel-E-2.0/tcVersion.txt

@@ -0,0 +1,3 @@
+#Version of DKPro TC used to train this model
+#Mon Sep 25 16:11:16 CEST 2023
+TcVersion=1.1.0

dkpro_target/models/Generell_c-SMO-C-2.5-NormalizedPolyKernel-E-2.0/bipartitionThreshold.txt

@@ -0,0 +1,3 @@
+#Bipartition threshold used to train this model (only multi-label classification)
+#Mon Sep 25 16:12:56 CEST 2023
+threshold=0.5

dkpro_target/models/Generell_c-SMO-C-2.5-NormalizedPolyKernel-E-2.0/classLabels.txt

@@ -0,0 +1,2 @@
+0
+1

dkpro_target/models/Generell_c-SMO-C-2.5-NormalizedPolyKernel-E-2.0/featureExtractorConfiguration.txt

@@ -0,0 +1,2 @@
+org.dkpro.tc.features.ngram.WordNGram	ngramMinN=1	uniqueFeatureExtractorName=WordNGram26554722299725	ngramUseTopK=5000	ngramMaxN=3
+org.dkpro.tc.features.ngram.CharacterNGram	ngramMinN=2	uniqueFeatureExtractorName=CharacterNGram26554722305026	ngramUseTopK=5000	ngramMaxN=5

dkpro_target/models/Generell_c-SMO-C-2.5-NormalizedPolyKernel-E-2.0/featureMode.txt

@@ -0,0 +1,3 @@
+#Feature mode used to train this model
+#Mon Sep 25 16:12:56 CEST 2023
+featureMode=unit

dkpro_target/models/Generell_c-SMO-C-2.5-NormalizedPolyKernel-E-2.0/learningMode.txt

@@ -0,0 +1,3 @@
+#Learning mode used to train this model
+#Mon Sep 25 16:12:56 CEST 2023
+learningMode=singleLabel

dkpro_target/models/Generell_c-SMO-C-2.5-NormalizedPolyKernel-E-2.0/meta.txt

@@ -0,0 +1 @@
+org.dkpro.tc.ml.weka.WekaAdapter

dkpro_target/models/Generell_c-SMO-C-2.5-NormalizedPolyKernel-E-2.0/metaCollectorOverrides.txt

@@ -0,0 +1 @@
+targetLocation=lucene

dkpro_target/models/Generell_c-SMO-C-2.5-NormalizedPolyKernel-E-2.0/metaExtractorOverrides.txt

@@ -0,0 +1 @@
+sourceLocation=lucene

dkpro_target/models/Generell_c-SMO-C-2.5-NormalizedPolyKernel-E-2.0/tcVersion.txt

@@ -0,0 +1,3 @@
+#Version of DKPro TC used to train this model
+#Mon Sep 25 16:12:56 CEST 2023
+TcVersion=1.1.0