LightGBM

Changes

💡 New Features

• [CUDA] fix setting of CUDA architectures and enable support for NVIDIA Blackwell @StrikerRUS (#6812)
• [python-package] support Python 3.13 @jameslamb (#6668)
• [GPU] Add support for linear tree with device=gpu @dragonbra (#6567)
• [c++] Add Bagging by Query for Lambdarank @shiyu1994 (#6623)

🔨 Breaking

• [R-package] require lgb.Dataset, remove sup...

Changes

💡 New Features

• [python-package] Add feature_names_in_ attribute for scikit-learn estimators (fixes #6279) @nicklamiller (#6310)
• [R-package]: add num_trees_per_iter, num_trees, and num_iter methods @mayer79 (#6500)

🔨 Breaking

• [c++] remove HDFS support (fixes #6436) @jameslamb (#6534)
• [ci] [python-package] run macOS x86_64 tests on macOS 12 (Monterey), stop...

Changes

💡 New Features

• [ci] [python-package] add arm64 macOS wheels @jameslamb (#6391)
• [python-package] Add support for NumPy 2.0, test against nightly versions of dependencies (fixes #6454) @jameslamb (#6467)
• [R-package] expose start_iteration to dump/save/lgb.model.dt.tree @mayer79 (#6398)
• [python-package] Allow to pass early stopping min delta in params @borchero (#6274...

Changes

💡 New Features

• [CUDA] Add arch=8.9 to CUDA_ARCHS for RTX 40XX @DmitryUlyanov (#6272)

🔨 Breaking

• [cmake] [c++] require CMake 3.18+ @jameslamb (#6260)
• [R-package] remove readRDS.lgb.Booster() and saveRDS.lgb.Booster() @jameslamb (#6246)

🚀 Efficiency Improvement

• [R-package] Remove non-beneficial parallelization @david-cortes (#6209)

🐛 Bug Fixes...

✨ v4.2.0 of the R package is now available on CRAN (link), the first major release of the R package in 2+ years.

✨ The Python package now accepts Apache Arrow Tables and Arrays (thanks @borchero!)

🔧 A critical bug in quantized training support is fixed

Changes

💡 New Features

• [python-package] Allow to pass Arrow...