46f2b820f1
Training a model with the experimental rank:ndcg objective incorrectly returns a Classification model. Adjust the classification check to not recognize rank:* objectives as classification. While writing tests for isClassificationTask also turned up that obj_type -> regression was incorrectly identified as a classification task so the function was slightly adjusted to pass the new tests.
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.