xgboost/jvm-packages
ebernhardson 78d0bd6c9d [jvm-packages] Repair spark model eval (#2841)
In the refactor to add base margins, #2532, all of the labels were lost
when creating the dmatrix. This became obvious as metrics like ndcg
always returned 1.0 regardless of the results.

Change-Id: I88be047e1c108afba4784bd3d892bfc9edeabe55
2017-11-04 23:28:47 +01:00
..
2017-07-06 18:05:11 +12:00
2017-10-20 23:18:46 +02:00
2016-03-05 08:44:55 -05:00

XGBoost4J: Distributed XGBoost for Scala/Java

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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.