* rank_metric: add AUC-PR Implementation of the AUC-PR calculation for weighted data, proposed by Keilwagen, Grosse and Grau (https://doi.org/10.1371/journal.pone.0092209) * rank_metric: fix lint warnings * Implement tests for AUC-PR and fix implementation * add aucpr to documentation for other languages
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.