History

- Use the `linalg::Matrix` for storing gradients.
- New API for the custom objective.
- Custom objective for multi-class/multi-target is now required to return the correct shape.
- Custom objective for Python can accept arrays with any strides. (row-major, column-major)

2023-08-24 05:29:52 +08:00

xgboost4j

Use matrix for gradient. (#9508 )

2023-08-24 05:29:52 +08:00

xgboost4j-example

Bump version to 2.1. (#9498 )

2023-08-18 01:04:04 +08:00

xgboost4j-flink

Bump version to 2.1. (#9498 )

2023-08-18 01:04:04 +08:00

xgboost4j-gpu

Bump org.apache.commons:commons-lang3 in /jvm-packages (#9489 )

2023-08-20 00:37:15 +08:00

xgboost4j-spark

Bump version to 2.1. (#9498 )

2023-08-18 01:04:04 +08:00

xgboost4j-spark-gpu

Bump version to 2.1. (#9498 )

2023-08-18 01:04:04 +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

Bump scala-collection-compat_2.12 from 2.10.0 to 2.11.0 in /jvm-packages (#9311 )

2023-08-21 10:27:35 +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.