dmlc/xgboost v2.1.1

2.1.1 Patch Release

on GitHub

The 2.1.1 patch release make the following bug fixes:

• [Dask] Disable broadcast in the scatter call so that predict function won't hang (#10632) by @trivialfis
• [Dask] Handle empty partitions correctly (#10559) by @trivialfis
• Fix federated learning for the encrypted GRPC backend (#10503) by @trivialfis
• Fix a race condition in column splitter (#10572) by @trivialfis
• Gracefully handle cases where system files like /sys/fs/cgroup/cpu.max are not readable by the user (#10623) by @trivialfis
• Fix build and C++ tests for FreeBSD (#10480) by @hcho3, @trivialfis
• Clarify the requirement Pandas 1.2+ (#10476) by @hcho3
• More robust endianness detection in R package build (#10642) by @jakirkham, @hcho3

In addition, it contains several enhancements:

• Publish JVM packages targeting Linux ARM64 (#10487) by @hcho3
• Publish a CPU-only wheel under name xgboost-cpu (#10603) by @hcho3
• Support building with CUDA Toolkit 12.5 and latest CCCL (#10624, #10633, #10574) by @hcho3, @trivialfis, @jakirkham

Full Changelog: v2.1.0...v2.1.1

Additional artifacts:

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

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

eddbc5200b7c5210f2b8974b9d2a0328a30753416bfb81fdaf5040f4f7abb222  xgboost-2.1.1.tar.gz
3ba5a6e0c609bd5cc0a667d83c57457c06778bece50863e58c8bc1b4eb415fc6  xgboost_r_gpu_linux_2.1.1.tar.gz

Experimental binary packages for R with CUDA enabled

• xgboost_r_gpu_linux_2.1.1.tar.gz: Download

Source tarball

• xgboost.tar.gz: Download