* bump up to scala 2.11 * framework of data frame integration * test consistency between RDD and DataFrame * order preservation * test order preservation * example code and fix makefile * improve type checking * improve APIs * user docs * work around travis CI's limitation on log length * adjust test structure * integrate with Spark -1 .x * spark 2.x integration * remove spark 1.x implementation but provide instructions on how to downgrade
31 lines
2.0 KiB
Markdown
31 lines
2.0 KiB
Markdown
XGBoost JVM Package
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===================
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[](https://travis-ci.org/dmlc/xgboost)
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[](../LICENSE)
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You have find XGBoost JVM Package!
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Installation
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------------
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Currently, XGBoost4J only support installation from source. Building XGBoost4J using Maven requires Maven 3 or newer and Java 7+.
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Before you install XGBoost4J, you need to define environment variable `JAVA_HOME` as your JDK directory to ensure that your compiler can find `jni.h` correctly, since XGBoost4J relies on JNI to implement the interaction between the JVM and native libraries.
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After your `JAVA_HOME` is defined correctly, it is as simple as run `mvn package` under jvm-packages directory to install XGBoost4J. You can also skip the tests by running `mvn -DskipTests=true package`, if you are sure about the correctness of your local setup.
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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 implemention by replacing SparkSession with SQLContext and the type of API parameters from Dataset[_] to Dataframe)
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Contents
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--------
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* [Java Overview Tutorial](java_intro.md)
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Resources
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---------
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* [Code Examples](https://github.com/dmlc/xgboost/tree/master/jvm-packages/xgboost4j-example)
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* [Java API Docs](http://dmlc.ml/docs/javadocs/index.html)
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## Scala API Docs
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* [XGBoost4J](http://dmlc.ml/docs/scaladocs/xgboost4j/index.html)
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* [XGBoost4J-Spark](http://dmlc.ml/docs/scaladocs/xgboost4j-spark/index.html)
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* [XGBoost4J-Flink](http://dmlc.ml/docs/scaladocs/xgboost4j-flink/index.html)
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