Does anyone know of examples of wrapping an existing piece of supervised learning software to output models in PMML format?  Of particular interest are learners that just take in labeled vectors of numbers as training data and put out models that are pretty much just coefficient vectors (liblinear, SVMlight, BXRtrain, BOW, etc.).  That is, they don't have any smarts about data types, ranges of le…