@armingrudd from the description it sounds like @HaveF is using the free automl library *1) from H2O that offers xgboost (on Mac and Linux as of now), some Deep Learning, stacked ensembles alongside Hyper Parameter optimization and an export of the resulting models as MOJO files - some of which can be reused in KNINE and even Sparkling Water environment, which is just great.
But in order to be compatible with KNIME one would have to exclude certain algorithms so the mojos would be reusable in KNIME.
I am preparing a workflow that will demonstrate some data preparation with spark, model building with H2O automl and distribution via KNIME and Sparkling Water.
*1)
http://docs.h2o.ai/h2o/latest-stable/h2o-docs/automl.html