History

dependabot[bot] 4847f24840

Bump com.nvidia:rapids-4-spark_2.12 in /jvm-packages (#10362 )

Bumps com.nvidia:rapids-4-spark_2.12 from 24.04.0 to 24.04.1.

---
updated-dependencies:
- dependency-name: com.nvidia:rapids-4-spark_2.12
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

2024-06-03 21:21:44 +08:00

xgboost4j

Bump org.apache.maven.plugins:maven-javadoc-plugin (#10373 )

2024-06-03 21:02:19 +08:00

xgboost4j-example

[jvm-packages] Update release scripts (#9983 )

2024-01-12 10:37:55 -08:00

xgboost4j-flink

[jvm-packages] refine tracker (#10313 )

2024-05-23 12:46:21 +08:00

xgboost4j-gpu

Bump org.codehaus.mojo:exec-maven-plugin in /jvm-packages (#10363 )

2024-06-03 21:03:58 +08:00

xgboost4j-spark

[jvm-packages] refine tracker (#10313 )

2024-05-23 12:46:21 +08:00

xgboost4j-spark-gpu

[jvm-packages] refine tracker (#10313 )

2024-05-23 12:46:21 +08:00

xgboost4j-tester

Revamp the rabit implementation. (#10112 )

2024-05-20 11:56:23 +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

[coll] Move the rabit poll helper. (#10349 )

2024-05-31 08:02:21 +08:00

create_jni.py

Revamp the rabit implementation. (#10112 )

2024-05-20 11:56:23 +08:00

pom.xml

Bump com.nvidia:rapids-4-spark_2.12 in /jvm-packages (#10362 )

2024-06-03 21:21:44 +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.