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

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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...