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microsoft/lightgbm
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
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Light Gbm v3.3.3

Light Gbm: v3.3.3 Release

Release date:
October 10, 2022
Previous version:
v3.3.2 (released January 6, 2022)
Magnitude:
1,176 Diff Delta
Contributors:
3 total committers
Data confidence:
Commits:
12 impacting commits

Top Contributors in v3.3.3

jameslamb
shiyu1994
github-actions[bot]

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Release Notes Published

Changes

This is a special release, put up to prevent the R package from being archived on CRAN.

See https://github.com/microsoft/LightGBM/issues/5502 and https://github.com/microsoft/LightGBM/pull/5525 for context.

This release only contains the changes, relevant to v3.3.2, necessary to prevent removal of the R package from CRAN.

πŸ’‘ New Features

  • [PARTIALLY: only for R-package] Add support for Visual Studio 2022 @StrikerRUS (#4889)

πŸ”¨ Breaking

None

πŸš€ Efficiency Improvement

None

πŸ› Bug Fixes

  • Check existence of inet_pton for win32 in CMakeLists.txt (fixes #5019) @shiyu1994 (#5159)
  • [ci] [R-package] use R 4.2.1 in Windows CI jobs (fixes #4881) @jameslamb (#5503)
  • [R-package] fix test on non-ASCII features in non-UTF8 locales @jameslamb (#5526)

πŸ“– Documentation

None

🧰 Maintenance

  • [ci] run Appveyor checks on PRs targeting release/ branches @jameslamb (#5528)
  • [ci] run CI on pull requests targeting release/ branches @jameslamb (#5527)
  • [ci] [R-package] ensure that MSVC jobs fail when tests fail (fixes #5439) @jameslamb (#5448)