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[jvm-packages] documenting tracker (#3831)

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* add back train method but mark as deprecated

* add back train method but mark as deprecated

* add back train method but mark as deprecated

* add back train method but mark as deprecated

* fix scalastyle error

* fix scalastyle error

* fix scalastyle error

* fix scalastyle error

* documenting tracker

* Make it a separate note
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Nan Zhu 2018-10-25 18:53:46 -07:00 committed by GitHub
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doc/jvm/xgboost4j_spark_tutorial.rst
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@ -65,6 +65,10 @@ and then refer to the snapshot dependency by adding:
XGBoost4J-Spark now requires Spark 2.3+. Latest versions of XGBoost4J-Spark uses facilities of `org.apache.spark.ml.param.shared` extensively to provide for a tight integration with Spark MLLIB framework, and these facilities are not fully available on earlier versions of Spark.
.. note:: Use of Python in XGBoost4J-Spark
By default, we use the tracker in `dmlc-core <https://github.com/dmlc/dmlc-core/tree/master/tracker>`_ to drive the training with XGBoost4J-Spark. It requires Python 2.7+. We also have an experimental Scala version of tracker which can be enabled by passing the parameter ``tracker_conf`` as ``scala``.
Data Preparation
================