Hello,

I tried to use multi-label Hoeffding Tree to build my baseline, however I gots some problems.

At first

        import moa.classifiers.multilabel.MultilabelHoeffdingTree;

        MultiTargetArffFileStream stream = new MultiTargetArffFileStream("mediamill.arff", "-101");

        MultilabelHoeffdingTree learner = new MultilabelHoeffdingTree();

I got a warning :
[WARNING] Only 1 labels found! (Expecting 101)
(Ignoring this prediction)

It means that the defaults classifier is not a multi-label classifier ?

So I use PSUpdate classifier as the base classifier in the leaf of hoeffding tree (as in mentioned in the article) :

        _import moa.classifiers.multilabel.MultilabelHoeffdingTree;
        import meka.classifiers.multilabel.incremental.PSUpdateable;

        MultilabelHoeffdingTree learner = new MultilabelHoeffdingTree();
        MEKAClassifier PS = new MEKAClassifier();
        PSUpdateable base = new PSUpdateable();
        PS.baseLearnerOption.setCurrentObject(base);
        PS.setModelContext(header);
        PS.prepareForUse();
        PS.resetLearningImpl();
        learner.learnerOption.setCurrentObject(PS);

Then I got [ERROR] Failed to update classifier
weka.core.UnsupportedAttributeTypeException: weka.classifiers.bayes.NaiveBayesUpdateable: Cannot handle unary class!

The dataset "mediamill.arff" I used has the numeric attributes, and the labelset is at the end of each example.
When I load data, I add a minus sign, so there should be a problem with the connection between moa and weka when loading data?

Thank you for your help!