public void EndTrainingSession()
{
Console.WriteLine("End");
stv = new StringToWordVector();
stv.setAttributeNamePrefix("#");
stv.setLowerCaseTokens(true);
stv.setOutputWordCounts(true);
stv.setInputFormat(oDataSet);
stv.setStemmer(new weka.core.stemmers.LovinsStemmer());
stv.setIDFTransform(true);
dataSet = Filter.useFilter(oDataSet, stv);
MultiLabelInstances mli = new MultiLabelInstances(dataSet, loadLabelsMeta(dataSet, tagsNb));
BinaryRelevance br = new mulan.classifier.transformation.BinaryRelevance(new NaiveBayes());
lps = new mulan.classifier.meta.RAkEL(br);
br.setDebug(true);
lps.setDebug(true);
lps.build(mli);
}
public void EndTrainingSession()
{
MultiLabelInstances mli = new MultiLabelInstances(dataSet, loadLabelsMeta(dataSet, tagsNb));
cl = new mulan.classifier.lazy.MLkNN();
cl.setDfunc(new LevWord());
// cl.setDistanceWeighting(10000);
cl.build(mli);
}
