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Clarify supported OSes for XGBoost4J published JARs (#3547)

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Philip Hyunsu Cho 2018-08-01 19:51:44 -07:00 committed by GitHub
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doc/jvm/index.rst
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@ -56,6 +56,13 @@ For sbt, please add the repository and dependency in build.sbt as following:
"ml.dmlc" % "xgboost4j" % "latest_source_version_num" "ml.dmlc" % "xgboost4j" % "latest_source_version_num"
If you want to use XGBoost4J-Spark, replace ``xgboost4j`` with ``xgboost4j-spark``.
.. note:: Spark 2.0 Required
After integrating with Dataframe/Dataset APIs of Spark 2.0, XGBoost4J-Spark only supports compile with Spark 2.x. You can build XGBoost4J-Spark as a component of XGBoost4J by running ``mvn package``, and you can specify the version of spark with ``mvn -Dspark.version=2.0.0 package``. (To continue working with Spark 1.x, the users are supposed to update pom.xml by modifying the properties like ``spark.version``, ``scala.version``, and ``scala.binary.version``. Users also need to change the implementation by replacing ``SparkSession`` with ``SQLContext`` and the type of API parameters from ``Dataset[_]`` to ``Dataframe``)
Installation from maven repo Installation from maven repo
============================ ============================
@ -76,9 +83,11 @@ Access release version
"ml.dmlc" % "xgboost4j" % "latest_version_num" "ml.dmlc" % "xgboost4j" % "latest_version_num"
This will checkout the latest stable version from the Maven Central.
For the latest release version number, please check `here <https://github.com/dmlc/xgboost/releases>`_. For the latest release version number, please check `here <https://github.com/dmlc/xgboost/releases>`_.
if you want to use XGBoost4J-Spark, you just need to replace ``xgboost4j`` with ``xgboost4j-spark``. if you want to use XGBoost4J-Spark, replace ``xgboost4j`` with ``xgboost4j-spark``.
Access SNAPSHOT version Access SNAPSHOT version
----------------------- -----------------------
@ -117,9 +126,9 @@ Then add dependency as following:
For the latest release version number, please check `here <https://github.com/CodingCat/xgboost/tree/maven-repo/ml/dmlc/xgboost4j>`_. For the latest release version number, please check `here <https://github.com/CodingCat/xgboost/tree/maven-repo/ml/dmlc/xgboost4j>`_.
if you want to use XGBoost4J-Spark, you just need to replace ``xgboost4j`` with ``xgboost4j-spark``. .. note:: Windows not supported by published JARs
After integrating with Dataframe/Dataset APIs of Spark 2.0, XGBoost4J-Spark only supports compile with Spark 2.x. You can build XGBoost4J-Spark as a component of XGBoost4J by running ``mvn package``, and you can specify the version of spark with ``mvn -Dspark.version=2.0.0 package``. (To continue working with Spark 1.x, the users are supposed to update pom.xml by modifying the properties like ``spark.version``, ``scala.version``, and ``scala.binary.version``. Users also need to change the implementation by replacing ``SparkSession`` with ``SQLContext`` and the type of API parameters from ``Dataset[_]`` to ``Dataframe``) The published JARs from the Maven Central and GitHub currently only supports Linux and MacOS. Windows users should consider building XGBoost4J / XGBoost4J-Spark from the source. Alternatively, checkout pre-built JARs from `criteo-forks/xgboost-jars <https://github.com/criteo-forks/xgboost-jars>`_.
Enabling OpenMP for Mac OS Enabling OpenMP for Mac OS
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