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[jvm-packages] documenting tracker #3831

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merged 10 commits into from Oct 26, 2018
Merged

[jvm-packages] documenting tracker #3831

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50fdb2b
add back train method but mark as deprecated
CodingCat Sep 14, 2016
35f02f4
fix scalastyle error
CodingCat Oct 10, 2016
46ef02d
add back train method but mark as deprecated
CodingCat Sep 14, 2016
3d8d27f
fix scalastyle error
CodingCat Oct 10, 2016
004309a
add back train method but mark as deprecated
CodingCat Sep 14, 2016
46a392c
fix scalastyle error
CodingCat Oct 10, 2016
3a53e95
add back train method but mark as deprecated
CodingCat Sep 14, 2016
452b9c1
fix scalastyle error
CodingCat Oct 10, 2016
c559056
documenting tracker
Oct 25, 2018
b132b71
Make it a separate note
hcho3 Oct 25, 2018
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4 changes: 4 additions & 0 deletions doc/jvm/xgboost4j_spark_tutorial.rst
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Expand Up @@ -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
================

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