* [jvm-packages] Fixed test/train persistence Prior to this patch both data sets were persisted in the same directory, i.e. the test data replaced the training one which led to * training on less data (since usually test < train) and * test loss being exactly equal to the training loss. Closes #2945. * Cleanup file cache after the training * Addressed review comments
XGBoost4J: Distributed XGBoost for Scala/Java
Documentation | Resources | Release Notes
XGBoost4J is the JVM package of xgboost. It brings all the optimizations and power xgboost into JVM ecosystem.
- Train XGBoost models in scala and java with easy customizations.
- Run distributed xgboost natively on jvm frameworks such as Apache Flink and Apache Spark.
You can find more about XGBoost on Documentation and Resource Page.
Examples
Full code examples for Scala, Java, Apache Spark, and Apache Flink can be found in the examples package.