Does XGBoost Spark 4J package support incremental training?

I want to load an already trained model from a model file into an XGBoostClassificationModel into Spark, and then continue training it with my dataset with the same set of parameters for some additional rounds. The result should be as if I had trained the original model for the extra rounds. This is supported in the python package, so I wanted to know if this is supported with the XGBoost Spark package, thanks.