To Community users and Developers:
I am currently using scala spark xgboost v0.81 and trying to evaluate an existing model’s variable importance on a new data set (not the training data set).
I pretty much like to follow this approach https://github.com/dmlc/xgboost/pull/1670.
However I found scala API has no choice for parameter updater/process_type/refresh_leaf, did I missed something? or some tricks can be played here?