History

Philip Hyunsu Cho 41ce8f28b2

[jvm-packages] Add Scala version suffix to xgboost-jvm package (#9776 )

* Update JVM script (#9714)

* Bump version to 2.0.2; revamp pom.xml

* Update instructions in prepare_jvm_release.py

* Fix formatting

2023-11-08 10:17:26 -08:00

xgboost4j

[jvm-packages] Add Scala version suffix to xgboost-jvm package (#9776 )

2023-11-08 10:17:26 -08:00

xgboost4j-example

[jvm-packages] Add Scala version suffix to xgboost-jvm package (#9776 )

2023-11-08 10:17:26 -08:00

xgboost4j-flink

[jvm-packages] Add Scala version suffix to xgboost-jvm package (#9776 )

2023-11-08 10:17:26 -08:00

xgboost4j-gpu

[jvm-packages] Add Scala version suffix to xgboost-jvm package (#9776 )

2023-11-08 10:17:26 -08:00

xgboost4j-spark

[jvm-packages] Add Scala version suffix to xgboost-jvm package (#9776 )

2023-11-08 10:17:26 -08:00

xgboost4j-spark-gpu

[jvm-packages] Add Scala version suffix to xgboost-jvm package (#9776 )

2023-11-08 10:17:26 -08:00

xgboost4j-tester

Scala 2.13 support. (#9099 )

2023-05-27 19:34:02 +08:00

.gitignore

Scala 2.13 support. (#9099 )

2023-05-27 19:34:02 +08:00

checkstyle-suppressions.xml

[jvm-packages] Fixed checkstyle excludes on Windows (#2370 )

2017-06-02 10:14:13 -07:00

checkstyle.xml

[jvm-packages] update checkstyle (#7335 )

2021-10-18 18:42:01 +08:00

CMakeLists.txt

[jvm-packages] Remove hard dependency on libjvm (#9698 ) (#9705 )

2023-10-23 21:21:14 -07:00

create_jni.py

[jvm-packages] Fix for space in sys.executable path in create_jni.py (#7358 )

2021-10-25 13:45:11 +08:00

pom.xml

[jvm-packages] Add Scala version suffix to xgboost-jvm package (#9776 )

2023-11-08 10:17:26 -08:00

README.md

Remove unmaintained jvm readme and dev scripts. (#9395 )

2023-07-18 18:23:43 +08:00

scalastyle-config.xml

[jvm-packages] update checkstyle (#7335 )

2021-10-18 18:42:01 +08:00

README.md

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 customization.
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.