[Question] What is the best way to use MLeap XGBoost in python?

I have a model trainer python project that needs support for serializing XGBoost models. I am trying to call the Scala APIs via the jvm following the [XGBoostClassificationModelParitySpec](https://github.com/combust/mleap/blob/eb8ef4e51c2059bd4cbac76db44be58de958840f/mleap-xgboost-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/mleap/XGBoostClassificationModelParitySpec.scala#L126) example, but there are a bunch of implicit classes that cannot be found this way in python and I cannot import the `ml.combust.mleap.spark.SparkSupport._` via jvm. Do you have any suggestions about how to integrate MLeap XGBoost in python? Any help would be really appreciated!