microsoft/LightGBM v4.1.0

on GitHub

Changes

💡 New Features

• Treat position bias via GAM in LambdaMART @metpavel (#5929)

🐛 Bug Fixes

• Fix updates in random forest model using GOSS data sample strategy @mjmckp (#6017)
• [R-package] Fix misdetected objective when passing lgb.Dataset instance to lightgbm() @david-cortes (#6005)
• [python-package] make it possible to build wheels without internet connection (fixes #5979) @jameslamb (#6042)
• fix percentile computation for regression objectives @zachary62 (#5848)
• [CUDA] Set GPU device ID in threads @shiyu1994 (#6028)
• [R-package] Fix error when passing categorical features to lightgbm() (fixes #6000) @david-cortes (#6003)
• [R-package] limit number of threads used in tests and examples (fixes #5987) @jameslamb (#5988)

📖 Documentation

• [python-package] [docs] Update key format of eval_hist in docstring example @Alnusjaponica (#5980)
• [docs] add vaex-ml to list of external repositories @jameslamb (#6085)
• [ci] [docs] fix broken ACM links @jameslamb (#6083)
• [docs] Fix typo in README @kyleengel (#6071)
• [docs] fix broken links @jameslamb (#6059)
• Fix Python Dockerfile @GyuminJack (#5984)

🧰 Maintenance

• Release v4.1.0 @jameslamb (#6076)
• Remove superfluous todo from gitignore @borchero (#6081)
• [python-package] simplify processing of pandas data @jameslamb (#6066)
• [ci] [R-package] test against R 4.3 on Linux and macOS @jameslamb (#6075)
• reduce verbosity of some log messages @jameslamb (#6073)
• [python-package] remove CVBooster._append() @jameslamb (#6057)
• [python-package] use dataclass for CallbackEnv @jameslamb (#6048)
• [ci] [python-package] add more linting checks @jameslamb (#6049)
• [ci] prevent lock-threads from locking issues with label 'feature request' @jameslamb (#6047)
• [ci] add bot to lock inactive issues and PRs @jameslamb (#6037)
• [ci] fix GPG key download for R Linux jobs (fixes #6038) @jameslamb (#6039)
• [ci] enforce dask version to be >=2023.5.0 in some builds (fixes #6030) @shiyu1994 (#6032)
• [ci] [R-package] use {lintr} 3.1 @jameslamb (#5997)
• [python-package] replace np.find_common_type with np.result_type @jmoralez (#5999)
• [ci] simplify CODEOWNERS @jameslamb (#5998)
• [R-package] consolidate testing constants in helpers file @jameslamb (#5992)
• [R-package] remove unused internal variables @jameslamb (#5991)
• [ci] use newer h5py in AppVeyor jobs (fixes #5995) @jameslamb (#5996)
• [python-package] make _InnerPredictor construction stricter @jameslamb (#5961)