2.0.3 Patch Release

The 2.0.3 patch release make the following bug fixes:

• [backport][sklearn] Fix loading model attributes. (#9808) by @trivialfis in #9880
• [backport][py] Use the first found native library. (#9860) by @trivialfis in #9879
• [backport] [CI] Upload libxgboost4j.dylib (M1) to S3 bucket by @hcho3 in #9887
• [jvm-packages] Fix POM for xgboost-jvm metapackage by @hcho3 in #9893 #9897

Full Changelog: v2.0.2...v2.0.3

Additional artifacts:

You can verify the downloaded packages by running the following command on your Unix shell:

echo "<hash> <artifact>" | shasum -a 256 --check

7c4bd1cf6162d335fd20a8168a54dd11508342f82fbf381a80c02ac57be0bce4  xgboost-2.0.3.tar.gz
d0c3499504133a8ea0043da2974c51cc71aae792f0719080bc227d7add8fb881  xgboost_r_gpu_win64_2.0.3.tar.gz
ee47da5b21231965b1f054d191a5418543377f4ba0d0615a593a6f99d1832ca1  xgboost_r_gpu_linux_2.0.3.tar.gz

Experimental binary packages for R with CUDA enabled

• xgboost_r_gpu_linux_2.0.3.tar.gz: Download
• xgboost_r_gpu_win64_2.0.3.tar.gz: Download