The Predictive Model Markup Language (PMML) includes the ability to work with
tree structures.  This example illustrates working with a PMML representation
of a randomForest tree trained on the classic Iris dataset.  The
model was trained in R using their randomForest package, then exported as PMML.

The PMML model is turned into a TripleBlind Asset via the PMMLTree.create()
method.  Then the model is used to infer against a flower.csv dataset in both
Federated and using fully secure SMPC modes.
