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Add link to XGBoost4J-Spark tutorial on AWS Yarn tutorial (#3582)

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Philip Hyunsu Cho 2018-08-12 07:27:28 -07:00 committed by GitHub
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doc/tutorials/aws_yarn.rst
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@ -5,9 +5,9 @@ This is a step-by-step tutorial on how to setup and run distributed `XGBoost <ht
on an AWS EC2 cluster. Distributed XGBoost runs on various platforms such as MPI, SGE and Hadoop YARN.
In this tutorial, we use YARN as an example since this is a widely used solution for distributed computing.
.. note:: XGBoost on Spark
.. note:: XGBoost with Spark
If you are preprocessing training data with Spark, you may want to look at `XGBoost4J-Spark <https://xgboost.ai/2016/10/26/a-full-integration-of-xgboost-and-spark.html>`_, which supports distributed training on Resilient Distributed Dataset (RDD).
If you are preprocessing training data with Spark, consider using :doc:`XGBoost4J-Spark </jvm/xgboost4j_spark_tutorial>`.
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