Scala spark xgboost (v0.81) incremental training


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

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?



The refresh_leaf option is experimental and thus not available from XGBoost4J-Spark. Also see discussion at