String[] entry = i.next();
Double criterionWeight = Double.valueOf(entry[1]);
weights.add(criterionWeight);
}
GroupRecommender recommendAlg=new GroupRecommender();
recommendAlg.SetFeedback(ansambl.get(0).GetFeedback());
recommendAlg.SetRecommenders(ansambl);
recommendAlg.SetWeights(weights);
recommendAlg.SetDWeight(getParameterAsDouble("default_weight"));
exampleSetOutput.deliver(recommendAlg);
}