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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. 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. 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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