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xgboost/jvm-packages
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Bobby Wang 344f90b67b
[jvm-packages] throw exception when tree_method=approx and device=cuda (#9478) 
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Co-authored-by: Jiaming Yuan <jm.yuan@outlook.com>
2023-08-14 17:52:14 +08:00
..
xgboost4j
[jvm-packages] automatically set the max/min direction for best score (#9404)
2023-07-27 11:09:55 +08:00
xgboost4j-example
[jvm-packages] Add the new device parameter. (#9385)
2023-07-17 18:40:39 +08:00
xgboost4j-flink
Scala 2.13 support. (#9099)
2023-05-27 19:34:02 +08:00
xgboost4j-gpu
[jvm-packages] Add the new device parameter. (#9385)
2023-07-17 18:40:39 +08:00
xgboost4j-spark
[jvm-packages] throw exception when tree_method=approx and device=cuda (#9478)
2023-08-14 17:52:14 +08:00
xgboost4j-spark-gpu
[jvm-packages] Add the new device parameter. (#9385)
2023-07-17 18:40:39 +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][xgboost4j-gpu] Support GPU dataframe and DeviceQuantileDMatrix (#7195)
2021-09-24 14:25:00 +08:00
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
xgboost4j-gpu_2.12-2.0.0: added libxgboost4j.so back. (#9351)
2023-07-04 03:31:33 +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

Build Status Documentation Status GitHub license

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.