v2.1.4
📦 xgboostView on GitHub →
✨ 3 features🔧 1 symbols
Summary
Patch 2.1.4 adds scikit-learn 1.6 compatibility, CUDA 12.8 wheel support with Blackwell, and updates for RMM 25.02 logger changes.
Migration Steps
- Reinstall XGBoost using the new wheels (e.g., pip install xgboost==2.1.4) to get CUDA 12.8 support.
- Verify downloaded artifacts using the provided SHA256 checksums.
- If using RMM, ensure you are on RMM 25.02 or later to match logger changes.
✨ New Features
- Added compatibility with scikit-learn 1.6.
- Built wheels supporting CUDA 12.8 and Blackwell.
- Updated integration to work with RMM 25.02 logger changes.