chore(deps): update dependency lightgbm to v4 [security]#6
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chore(deps): update dependency lightgbm to v4 [security]#6renovate[bot] wants to merge 1 commit intomainfrom
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This PR contains the following updates:
3.3.1→4.6.0GitHub Vulnerability Alerts
CVE-2024-43598
LightGBM Remote Code Execution Vulnerability
Release Notes
microsoft/LightGBM (lightgbm)
v4.6.0Compare Source
Changes
💡 New Features
🔨 Breaking
scikit-learn>=0.24.2, make scikit-learn estimators compatible withscikit-learn>=1.6.0dev@vnherdeiro (#6651)FetchContent_PopulatewithFetchContent_MakeAvailable@StrikerRUS (#6550)🚀 Efficiency Improvement
🐛 Bug Fixes
pyarrowandcffiare installed @mlondschien (#6785)pyarrow.Table@mlondschien (#6781)predict()output shape for 1-tree models @RektPunk (#6753)dump_model()information for root node @neNasko1 (#6569)📖 Documentation
force_col_wiseparam with CUDA version @StrikerRUS (#6695)🧰 Maintenance
cvfoldsvariable intocvboosterinengine.cvfunction @ClaudioSalvatoreArcidiacono (#6762)typospre-commit hook @borchero (#6564)biometool @StrikerRUS (#6711)MinimumVisualStudioVersionto MSVS 2015 @StrikerRUS (#6689)train.binary.binandlgb_train_data.binfiles being left behind after testing @bili2002 (#6606)categorical.modelandmodel.txtfiles being left behind after testing @neNasko1 (#6590)v4.5.0Compare Source
Changes
💡 New Features
feature_names_in_attribute for scikit-learn estimators (fixes #6279) @nicklamiller (#6310)🔨 Breaking
🚀 Efficiency Improvement
🐛 Bug Fixes
📖 Documentation
🧰 Maintenance
is_sparsefunction @StrikerRUS (#6532)lgb.modelandlgb.pklfiles being left behind after testing @nicklamiller (#6518)Rf_-prefixed versions of protect/unprotect @david-cortes (#6502)v4.4.0Compare Source
Changes
💡 New Features
🔨 Breaking
slice()tolgb.slice.Dataset()@david-cortes (#6293)🚀 Efficiency Improvement
🐛 Bug Fixes
📖 Documentation
cmake --build@jameslamb (#6368)🧰 Maintenance
v4.3.0Compare Source
Changes
💡 New Features
🔨 Breaking
🚀 Efficiency Improvement
🐛 Bug Fixes
📖 Documentation
🧰 Maintenance
v4.2.0Compare Source
✨ 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
random_state@david-cortes (#6174)🔨 Breaking
🚀 Efficiency Improvement
🐛 Bug Fixes
Configuration
📅 Schedule: Branch creation - "" in timezone Asia/Tokyo, Automerge - At any time (no schedule defined).
🚦 Automerge: Disabled by config. Please merge this manually once you are satisfied.
♻ Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.
🔕 Ignore: Close this PR and you won't be reminded about this update again.
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