9004ca03ca
* [jvm-packages] Train Booster from an existing model * Align Scala API with Java API * Existing model should not load rabit checkpoint * Address minor comments * Implement saving temporary boosters and loading previous booster * Add more unit tests for loadPrevBooster * Add params to XGBoostEstimator * (1) Move repartition out of the temp model saving loop (2) Address CR comments * Catch a corner case of training next model with fewer rounds * Address comments * Refactor newly added methods into TmpBoosterManager * Add two files which is missing in previous commit * Rename TmpBooster to checkpoint
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.