dmlc/xgboost v3.0.3

3.0.3 Patch Release

on GitHub

• Fix NDCG metric with non-exp gain. (#11534)
• Avoid using mean intercept for rmsle. (#11588)
• [jvm-packages] add setNumEarlyStoppingRounds API (#11571)
• Avoid implicit synchronization in GPU evaluation. (#11542)
• Remove CUDA check in the array interface handler (#11386)
• Fix check in GPU histogram. (#11574)
• Support Rapids 25.06 (#11504)
• Adding enable_categorical to the sklearn .apply method (#11550)
• Make xgboost.testing compatible with scikit-learn 1.7 (#11502)
• Add support for building xgboost wheels on Win-ARM64 (#11572, #11597, #11559)

Additional artifacts:

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

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

6598adf6a073a55cc87a31e6712fc6dab938a5317aeae7134a07067d51acdf3a  xgboost-src-3.0.3.tar.gz
162eb7811313eac5c55f686920b32c5c29c929872bdbc65af147c6f4f19bc38d  xgboost_r_gpu_linux.tar.gz

Experimental binary packages for R with CUDA enabled

• xgboost_r_gpu_linux_3.0.3.tar.gz: Download

Source tarball

• xgboost-src-3.0.3.tar.gz: Download