fixed javadoc

dwslab · Sep 10, 2023 · 7c750bd · 7c750bd
1 parent 32da424
commit 7c750bd
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diff --git a/.../uni_mannheim/informatik/dws/melt/matching_ml/python/nlptransformers/LLMBinaryFilter.java b/.../uni_mannheim/informatik/dws/melt/matching_ml/python/nlptransformers/LLMBinaryFilter.java
@@ -39,12 +39,12 @@ public class LLMBinaryFilter extends LLMBase implements Filter {
     private static final Logger LOGGER = LoggerFactory.getLogger(LLMBinaryFilter.class);
 
     /**
-     * Set of positive words to use. Default is "yes" (and some variations of it (generated with {@link #includeMoreVariations(java.util.Set))
+     * Set of positive words to use. Default is "yes" (and some variations of it (generated with {@link #includeMoreVariations(java.util.Set)})
      */
     protected Set<String> positiveWords;
 
     /**
-     * Set of negative words to use. Default is "no" (and some variations of it (generated with {@link #includeMoreVariations(java.util.Set))
+     * Set of negative words to use. Default is "no" (and some variations of it (generated with {@link #includeMoreVariations(java.util.Set)})
      */
     protected Set<String> negativeWords;
 

diff --git a/...annheim/informatik/dws/melt/matching_ml/python/nlptransformers/TransformersFineTuner.java b/...annheim/informatik/dws/melt/matching_ml/python/nlptransformers/TransformersFineTuner.java
@@ -163,7 +163,7 @@ public int getMaximumPerDeviceTrainBatchSize (File trainingFile){
     /**
      * This will add (potencially multiple) training parameters to the current {@link TransformersBase#trainingArguments trainingArguments}
      * to make the training faster. Thus do not change the trainingArguments object afterwards 
-     * (with {@link TransformersBase#setTrainingArguments(de.uni_mannheim.informatik.dws.melt.matching_ml.python.nlptransformers.TransformersTrainerArguments) setTrainingArguments} ).
+     * (with {@link TransformersBase#setTrainingArguments(de.uni_mannheim.informatik.dws.melt.matching_ml.python.nlptransformers.TransformersArguments)  setTrainingArguments} ).
      * What you can do is to add more training arguments via getTrainingArguments.addParameter (as long as you do not modify any parameters added by this method).
      * The following parameters are set:
      * <ul>