I am running some experiments with the Mulan wrapper. Particularly, I added the COCOA method from that repository and am running the following for training:

java -cp "~/bin/meka-release-1.9.8-SNAPSHOT/lib/*" meka.classifiers.multilabel.MULAN -S COCOA -verbosity 8 -split-percentage 100 -t "train.arff" -d "clf.dmp" -W weka.classifiers.trees.J48
and for inference:
java -cp "~/bin/meka-release-1.9.8-SNAPSHOT/lib/*" meka.classifiers.multilabel.MULAN -S COCOA -verbosity 8 -t "train.arff" -T "test.arff" -l "clf.dmp" -W weka.classifiers.trees.J48

Notably, training time increases moderately but reasonably as "train.arff" grows. However, with a fixed "test.arff" size, inference time scales exponentially with "train.arff" size. It seems almost as if training is not actually occurring during the first command but rather in the second. My java is very rusty so perhaps that is indeed what is happening. Is this the expected behavior?