trivialfis
released this
23 Oct 14:31
·
2 commits
to release_2.1.0
since this release
The 2.1.2 patch release makes the following bug fixes:
- Clean up and modernize release-artifacts.py (#10818)
- Fix ellpack categorical feature with missing values. (#10906)
- Fix unbiased ltr with training continuation. (#10908)
- Fix potential race in feature constraint. (#10719)
- Fix boolean array for arrow-backed DF. (#10527)
- Ensure that
pip check
does not fail due to a bad platform tag (#10755) - Check cub errors (#10721)
- Limit the maximum number of threads. (#10872)
- Fixes for large size clusters. (#10880)
- POSIX compliant
poll.h
andmmap
(#10767)
Additional artifacts:
You can verify the downloaded packages by running the following command on your Unix shell:
echo "<hash> <artifact>" | shasum -a 256 --check
a84fc7d9846c24659a2ad16788a7eefa9640b19eea9bbc65f30e0a9d53c52453 xgboost-2.1.2.tar.gz
999eff38533ea79ab3a1f0da524c54f6d0abd2ef220b6dbb9ba1331703e898bc xgboost_r_gpu_linux_2.1.2.tar.gz
Experimental binary packages for R with CUDA enabled
- xgboost_r_gpu_linux_2.1.2.tar.gz: Download
Source tarball
- xgboost.tar.gz: Download