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5 Commits

Author SHA1 Message Date
Philip Hyunsu Cho
1168a68872
[jvm-packages] Update release scripts (#9983) 
* [jvm-packages] Add Scala version suffix to xgboost-jvm package (#9776)

* Update JVM script (#9714)

* Revamp pom.xml

* Update instructions in prepare_jvm_release.py

* Fix formatting

* [jvm-packages] Fix POM for xgboost-jvm metapackage (#9893)

* [jvm-packages] Fix POM for xgboost-jvm metapackage

* Add script for updating the Scala version

* Update change_scala_version.py to also change scala.version property (#9897)

* Remove 'release-cpu-only' profile

* Remove scala-2.13 profile; enable gpu package for Scala 2.13
 2024-01-12 10:37:55 -08:00
Boris
a01df102c9
Scala 2.13 support. (#9099) 
1. Updated the test logic
2. Added smoke tests for Spark examples.
3. Added integration tests for Spark with Scala 2.13
 2023-05-27 19:34:02 +08:00
koertkuipers
3c506b076e [jvm-packages] upgrade to Scala 2.12 (#4574) 
* bump scala to 2.12 which requires java 8 and also newer flink and akka

* put scala version in artifactId

* fix appveyor

* fix for scaladoc issue that looks like https://github.com/scala/bug/issues/10509

* fix ci_build

* update versions in generate_pom.py

* fix generate_pom.py

* apache does not have a download for spark 2.4.3 distro using scala 2.12 yet, so for now i use a tgz i put on s3

* Upload spark-2.4.3-bin-scala2.12-hadoop2.7.tgz to our own S3

* Update Dockerfile.jvm_cross

* Update Dockerfile.jvm_cross
 2019-07-16 08:43:34 -07:00
Nan Zhu
37dc82c3ff
[jvm-packages] allow partial evaluation of dataframe before prediction (#4407) 
* allow partial evaluation of dataframe before prediction

* resume spark test

* comments

* Run unit tests after building JVM packages
 2019-04-26 21:02:40 -07:00
Philip Hyunsu Cho
ea850ecd20
[CI] Refactor Jenkins CI pipeline + migrate all Linux tests to Jenkins (#4401) 
* All Linux tests are now in Jenkins CI
* Tests are now de-coupled from builds. We can now build XGBoost with one version of CUDA/JDK and test it with another version of CUDA/JDK
* Builds (compilation) are significantly faster because 1) They use C5 instances with faster CPU cores; and 2) build environment setup is cached using Docker containers
 2019-04-26 18:39:12 -07:00