Lightgbm

Latest version: v4.3.0

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4.3.0

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

- [R-package] [ci] remove unnecessary include in linear_tree_learner (fixes 6264) jameslamb (6265)
- [cmake] [CUDA] ignore CUDA-specific source files in non-CUDA builds (fixes 6267) sabjohnso (6268)
- [c++] include OpenMP-control files in MSBuild solution file (fixes 6238) jameslamb (6251)
- [cmake] [swig] use CMake's built-in file-copying mechanisms instead of 'cp' jameslamb (6259)

📖 Documentation

- [docs] Add LightGBMLSS to README StatMixedML (6254)
- [ci] [docs] add Oliver to CODEOWNERS jameslamb (6247)
- Fix small typo and grammar in docs arunstar (6245)

🧰 Maintenance

- [ci] fix conda env creation in 'regular' CI job (fixes 6282) jameslamb (6283)
- [R-package] [ci] switch vignettes from 'rmarkdown' to 'markdown' jameslamb (6258)
- [python-package] fix mypy error about pandas categorical features jameslamb (6253)
- [ci] update issue-locking workflow jameslamb (6256)
- [ci] upgrade to GoogleTest v1.14.0 (fixes 5976) jameslamb (5981)
- [ci] [R-package] speed up valgrind job jameslamb (6237)
- bump development version to 4.2.0.99 jameslamb (6241)

4.2.0

- [ci] [R-package] allow more possibly-lost warnings from valgrind jameslamb (6233)
- [ci] Upgrade Azure VMSS to use Mariner Linux shiyu1994 (6222)
- Add msvc conformance check Zhaojun-Liu (6234)
- [python-package] Add tests for passing Arrow arrays with empty chunks borchero (6210)
- [R-package] change CRAN maintainer jameslamb (6224)
- [CUDA] fix typo in error message jameslamb (6207)
- [python-package] ignore mypy errors related to ctypes string buffers jameslamb (6198)
- [python-package] consolidate pandas-to-numpy conversion code jameslamb (6156)
- [R-package] standardize naming of internal functions jameslamb (6179)
- [R-package] remove unreachable code jameslamb (6180)
- allow new files in include/LightGBM jameslamb (6177)
- [R-package] Use `cat()` instead of `print()` for metrics and callbacks david-cortes (6171)
- [ci] resolve warning in tests jameslamb (6154)
- [ci] use `mamba` instead of `conda` in macOS and Linux CI jobs borchero (6140)
- factor out uses of omp_get_num_threads() and omp_get_max_threads() outside of OpenMP wrapper jameslamb (6133)
- remove unnecessary allocations in HistogramSumReducer jameslamb (6132)
- [ci] [R-package] enforce more {lintr} checks jameslamb (6130)
- fix compiler warnings for CPP tests jameslamb (6124)
- [ci] [R-package] test against R 4.3 on Windows jameslamb (6061)
- [python-package] reorganize early stopping callback jameslamb (6114)
- [python-package] simplify Dataset._compare_params_for_warning() jameslamb (6120)
- [ci] fix sh-compatibility issue in build-cran-package.sh jameslamb (6118)
- [python-package] remove unnecessary allocations in ctypes code jameslamb (6111)
- [python-package] fix mypy errors in Dataset construction jameslamb (6106)
- [ci] ensure correct R version is used on GitHub Actions (fixes 5640) jameslamb (6107)
- [python-package] fix mypy error about eval result tuples jameslamb (6105)
- [python-package] fix mypy error from Dataset.pandas_categorical jameslamb (6098)
- [ci] Fix typo in dependencies borchero (6100)
- [python-package] fix mypy errors related to eval result parsing in callbacks jameslamb (6096)
- [python-package] mark EarlyStopException as part of public API jameslamb (6095)
- [python-package] fix mypy errors related to eval result tuples jameslamb (6097)
- update to fmt 10.1.1, fast_double_parser 0.7.0 jameslamb (6074)

4.1.0

- 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)

----

> **Note**
>
> This release of the R package was not submitted to CRAN, due to the issues documented in https://github.com/microsoft/LightGBM/issues/5987.

4.0.0

Changes

This release contains all previously-unreleased changes since `v3.3.1` over 1.5 years ago ([link](https://github.com/microsoft/LightGBM/releases/tag/v3.3.1)).

Summary of improvements:

* totally-rewritten CUDA implementation, and more operations in the CUDA implementation performed on the GPU
* quantized training can be used for greatly improved training speeds on CPU ([paper link](https://arxiv.org/abs/2207.09682))
* support for C++17
* Python package:
- now uses `scikit-build-core` ([link](https://github.com/scikit-build/scikit-build-core)) as its build backend
- `manylinux_2_28` Linux wheels now support GPU (OpenCL-based, not CUDA) build automatically... just `pip install lightgbm` then pass `{"device": "gpu"}` in params (thanks jgiannuzzi!)
- much more use of inline type hints, exported with `py.typed` so any code using LightGBM can benefit
- support for Python 3.10, 3.11
- support for `pandas` nullable types
- configurable threshold (`lgb.early_stopping(..., min_delta=n)`) for how much eval metrics must improve to be considered "improved" for early stopping
- custom objective functions in Dask
- `scikit-learn` is no longer a required dependency
- all callbacks are now pickleable (for better interoperability with e.g. `ray`, Dask) (thanks Yard1!)
* R package:
- efficient support for more data types in prediction, like `dgCMatrix` and `dsparseMatrix` (thanks david-cortes!)
- much more idomatic interface... e.g. support for `saveRDS()` and `readRDS()` for `Booster`, `print()` and `summary()` methods for `Dataset` (thanks david-cortes!)
- various bug fixes related to multiple competing ways to provide parameters
- support for R 4.2, 4.3

Summary of breaking changes:

* Python package:
- dropped most testing, promise of support for Python 3.6 (although it should still technically be installable)
- dropped support for macOS Mojave (10.14)
- made many functions and class attributes private, including significantly reducing what is pulled in by `from lightgbm import *`
- removed `setup.py`, `pip install --install-option` support
- remove support for `pip install --install-option` (to work with newer `pip`, see https://github.com/pypa/pip/issues/11358)
- see https://github.com/microsoft/LightGBM/blob/master/python-package/README.rst for new patterns
- see https://github.com/pypa/pip/issues/11358 and #5061 for background
- dropped support for installation with `MSBUild.exe` ... that now requires compiling `lib_lightgbm.dll` separately and then building a wheel that bundles it
* R package:
- dropped support for Solaris
- removed most support for passing parameters through `...`
- removed `lgb.unloader()`
- switched to `predict(newdata, type = ...)` in `predict()`, for consistency with base R and most other machine learning projects

💡 New Features

- [python-package] add 'pandas' extra jameslamb (5937)
- [CUDA] Add more CUDA Regression Metrics Xuweijia-buaa (5924)
- [python-package] adding max_category_values parameter to create_tree_digraph method (fixes 5687) moziada (5818)
- [c++] support building with Ninja on Linux jameslamb (5910)
- add CMakeLists options to disable building CLI, installing headers jameslamb (5880)
- Add quantized training (CPU part) shiyu1994 (5800)
- [CUDA] Add quantile regression objective for new CUDA version shiyu1994 (5605)
- [CUDA] Add quantile metric for new CUDA version (contribute to 5163) shiyu1994 (5665)
- [python-package] add Booster.set_leaf_output method jmoralez (5712)
- feature: Add serialization of reference dataset svotaw (5427)
- [R-package] Accept factor labels and use their levels david-cortes (5341)
- [CUDA] Add binary logloss metric for new CUDA version shiyu1994 (5635)
- [CUDA] Add binary logloss metric for new CUDA version shiyu1994 (5635)
- Decouple Boosting Types (fixes 3128) lyf-00 (4827)
- [CUDA] Add L2 metric for new CUDA version shiyu1994 (5633)
- [CUDA] Add rmse metric for new CUDA version shiyu1994 (5611)
- Build integrated OpenCL Linux wheels jgiannuzzi (5252)
- [CUDA] Add Poisson regression objective for cuda_exp and refactor objective functions for cuda_exp shiyu1994 (5486)
- [CUDA] Add multiclass_ova objective for cuda_exp shiyu1994 (5491)
- [python-package] add install option to enable printing of time costs Remy-Luciani (5497)
- [python-package][R-package] load parameters from model file (fixes 2613) jmoralez (5424)
- [CUDA] Add multiclass objective for cuda_exp shiyu1994 (5473)
- [CUDA] Add feature interaction constraint for cuda_exp (fix 4785) shiyu1994 (5474)
- [CUDA] Add rank_xendcg objective for cuda_exp shiyu1994 (5472)
- [CUDA] Add fair regression objective for cuda_exp shiyu1994 (5469)
- [CUDA] Add lambdarank objective for cuda_exp shiyu1994 (5453)
- [CUDA] Add Huber regression objective for cuda_exp shiyu1994 (5462)
- [CUDA] Add L1 regression objective for cuda_exp shiyu1994 (5457)
- [CUDA] L2 regression objective for cuda_exp shiyu1994 (5452)
- [CUDA] Add binary objective for cuda_exp shiyu1994 (5425)
- [R-package] Add remainder of prediction funtions david-cortes (5312)
- [python-package] support saving and loading CVBooster (fixes 3556) nyanp (5160)
- feature: Add true streaming APIs to reduce client-side memory usage svotaw (5299)
- [python-package] highlight the path a sample takes through a tree in `plot_tree` and `create_tree_digraph` (fixes 4784) jmoralez (5119)
- reproducible parameter alias resolution for wrappers (fixes 5304) jmoralez (5338)
- [CUDA] Initial work for boosting and evaluation with CUDA shiyu1994 (5279)
- [python-package] add validate_features argument to refit jmoralez (5331)
- [python-package] check feature names in predict with dataframe (fixes 812) jmoralez (4909)
- [R-package] Add sparse feature contribution predictions david-cortes (5108)
- [python-package][R-package] allow using feature names when retrieving number of bins jmoralez (5116)
- [R-package] Keep row names in output from `predict` david-cortes (4977)
- [python] make `reset_parameter` callback pickleable StrikerRUS (5109)
- [python] make `record_evaluation` callback pickleable StrikerRUS (5107)
- [python] make `log_evaluation` callback pickleable StrikerRUS (5101)
- [python] allow to register any custom logger (fixes 4783) RustingSword (4880)
- Load initial scores with binary data files in CLI version shiyu1994 (4807)
- [R-package] Rename `weight` -> `weights` david-cortes (4975)
- [CUDA] New CUDA version Part 1 shiyu1994 (4630)
- [python] make `early_stopping` callback pickleable Yard1 (5012)
- [c-api][python-package][R-package] expose feature num bin jmoralez (5048)
- [python-package] [R-package] propagate the best iteration of cvbooster into the individual boosters jmoralez (5066)
- [python-package] add support for pandas nullable types jmoralez (4927)
- [R-package] Promote objective and init_score to top-level arguments in `lightgbm()` david-cortes (4976)
- [python] Start supporting Python 3.10 StrikerRUS (4893)
- [python-package] support customizing Dataset creation in Booster.refit() (fixes 3038) TremaMiguel (4894)
- [dask] add support for custom objective functions (fixes 3934) jameslamb (4920)
- [R-package] added argument eval_train_metric to lgb.cv() (fixes 4911) mayer79 (4918)
- Add support for Visual Studio 2022 StrikerRUS (4889)
- Add C API function that returns all parameter names with their aliases StrikerRUS (4829)
- [python][sklearn] respect parameters for predictions in `init()` and `set_params()` methods StrikerRUS (4822)
- Add customized parser support chjinche (4782)
- [R-package] Add `print()` and `summary()` methods for Booster david-cortes (4686)
- Add 'nrounds' as an alias for 'num_iterations' (fixes 4743) mikemahoney218 (4746)
- [python-package] early stopping min_delta (fixes 2526) jmoralez (4580)
- [python][sklearn] respect objective aliases StrikerRUS (4758)
- [python][sklearn] add `n_estimators_` and `n_iter_` post-fit attributes StrikerRUS (4753)

🔨 Breaking

- [python-package] make Booster and Dataset 'handle' attributes private (fixes 5313) jameslamb (5947)
- [python-package] remove hard dependency on 'scikit-learn', fix minimal runtime dependencies jameslamb (5942)
- [python-package] [ci] switch to PEP 517 / 518 builds (remove `setup.py`) (fixes 5061) jameslamb (5759)
- [ci] [python-package] replace 'python setup.py' with a shell script jameslamb (5837)
- [R-package] use C++17 in the CRAN package jameslamb (5690)
- [python-package] make some Booster and Dataset attributes private jameslamb (5723)
- [CUDA] consolidate CUDA versions jameslamb (5677)
- [python-package] make public API members explicit with module-level __all__ variables jameslamb (5655)
- [ci] migrate CI from macOS 10.15 to 11 (fixes 5391) StrikerRUS (5396)
- [ci] switch to manylinux_2_28 for Linux artifacts (fixes 5514, fixes 5589) jameslamb (5580)
- fix: Adjust LGBM_DatasetCreateFromSampledColumn to handle distributed data svotaw (5344)
- [python-package] allow custom weighing in fobj for scikit-learn API (closes 5027) jmoralez (5211)
- [R-package] Use `type` argument to control prediction types david-cortes (5133)
- [python-package] Use scikit-learn interpretation of negative `n_jobs` and change default to number of cores david-cortes (5105)
- [python-package] remove Booster.set_attr() and Booster.attr() jameslamb (5272)
- remove support for Solaris (fixes 5216) jameslamb (5226)
- [R-package] stop automatically calculating eval metrics on training data in lightgbm() jameslamb (5209)
- [R-package] remove lgb.unloader() jameslamb (5204)
- [python-package] remove 'fobj' in favor of passing custom objective function in params TremaMiguel (5052)
- [python-package] remove is_reshape argument in Booster.predict (fixes 5115) jmoralez (5117)
- [R-package] Remove `reshape` argument in `predict` david-cortes (4971)
- [R-package] Promote number of threads to top-level argument in `lightgbm()` and change default to number of cores david-cortes (4972)
- [R-package] Rename `data` -> `newdata` in `predict` david-cortes (4973)
- Build Windows artifacts in `windows-2019` image instead of `vs2017-win2016` StrikerRUS (5059)
- [python-package] use 2d collections for predictions, grads and hess in multiclass custom objective jmoralez (4925)
- [R-package] prefer params to keyword argument in lgb.train() jameslamb (5007)
- [R-package] remove behavior where lightgbm() saves model to disk david-cortes (4974)
- [python-package] make record_evaluation compatible with cv (fixes 4943) jmoralez (4947)
- [python] remove `early_stopping_rounds` argument of `train()` and `cv()` functions StrikerRUS (4908)
- [python] remove `evals_result` argument of `train()` function StrikerRUS (4882)
- [python][sklearn] do not replace empty dict with `None` for `evals_result_` StrikerRUS (4884)
- [python] Drop Python 3.6 support StrikerRUS (4891)
- [python] remove `verbose_eval` argument of `train()` and `cv()` functions StrikerRUS (4878)
- [python] remove `verbose` argument of `model_from_string()` method of Booster class StrikerRUS (4877)
- [python][sklearn] Remove `early_stopping_rounds` argument of `fit()` method StrikerRUS (4846)
- [R-package] remove support for '...' in `slice()` jameslamb (4872)
- [R-package] remove support for '...' in `lgb.Dataset()` jameslamb (4874)
- [R-package] remove support for '...' in `dim.lgb.Dataset()` jameslamb (4873)
- [R-package] remove support for '...' in lgb.train() jameslamb (4863)
- [R-package] remove support for '...' in `create_valid()` jameslamb (4865)
- [R-package] remove support for 'info' in Dataset jameslamb (4866)
- [R-package] remove Dataset getinfo() jameslamb (4864)
- [R-package] remove support for '...' in lgb.cv() jameslamb (4860)
- [R-package] remove Dataset setinfo() jameslamb (4854)
- [R-package] remove support for '...' in predict() jameslamb (4857)
- [R-package] remove support for '...' in Booster reset_parameter() jameslamb (4856)
- [python][sklearn] unify values of `best_iteration` for sklearn and standard APIs StrikerRUS (4845)
- [ci] migrate CI from macOS 10.14 to 10.15 and drop support of Mojave StrikerRUS (4849)
- [R-package] enable saving Booster with saveRDS() and loading it with readRDS() (fixes 4296) david-cortes (4685)
- [python][sklearn] remove `verbose` argument from `fit()` method StrikerRUS (4832)
- [python] remove `learning_rates` argument of `train()` function StrikerRUS (4831)
- [python] remove "auto" value of `ylabel` argument of `plot_metric()` function StrikerRUS (4818)
- [python] Remove `print_evaluation()` function StrikerRUS (4819)
- [python] Remove `silent` argument StrikerRUS (4800)


🚀 Efficiency Improvement

- Add quantized training (CPU part) shiyu1994 (5800)
- [python-package] replace .values usage with .to_numpy() superlaut (5612)
- clear memory allocated for sampled data when constructing Dataset from text file xuchuanyin (4890)
- [python] Faster categorical column names selection Neronuser (4787)
- [R-package] parallelize compilation in CMake-based builds jameslamb (4525)
- [python-package] simplify Dataset processing of label jameslamb (5456)
- [python-package] make a shallow copy on dataframe rename (fixes 4596) jmoralez (5254)
- [python-package] make a shallow copy when replacing categorical features with codes (fixes 4596) jmoralez (5225)
- [R-package] reduce cost of repeated parameter alias checks jameslamb (5141)
- reduce duplicate computation in poisson, gamma, and tweedie objectives lorentzenchr (4950)

🐛 Bug Fixes

- move LightGBM-vendored json11 into a LightGBM-specific namespace (fixes 5944) maskedcoder1337 (5946)
- [dask] hold ports until training jmoralez (5890)
- update MSBuild solution to Windows SDK v10.0, add inet_pton define (fixes 5856) jameslamb (5884)
- Fix DEBUG-mode GPU builds GinkoBalboa (5778)
- cast data_index as size_t in cuda_row_data to avoid integer overflow SiNZeRo (5706)
- [ci] [R-package] fix clang 15 warning about unqualified calls (fixes 5661) jameslamb (5662)
- Check feature indexes in forced split file (fixes 5517) btrotta (5653)
- fix feature index in Dataset::AddFeaturesFrom (fixes 5410) jameslamb (5650)
- Check feature indexes in forced split file (fixes 5517) btrotta (5653)
- fix feature index in Dataset::AddFeaturesFrom (fixes 5410) jameslamb (5650)
- [ci] [python-package] fix missing import, test that lightgbm can be imported with only required dependencies (fixes 5631) jameslamb (5632)
- Fix OpenMP thread allocation in Linux svotaw (5551)
- [R-package] correctly quote paths on Windows for CMake-based builds jameslamb (5607)
- [ci] [python-package] correct tag on x86_64 wheels jameslamb (5598)
- [tests][dask] fix workers without data test (fixes 5537) jmoralez (5544)
- prefer 'vsnprintf' to 'vsprintf' jameslamb (5561)
- [ci] fix R-package CI jobs and compatibility with OpenMP 15+ (fixes 5549, 5562) jameslamb (5563)
- include parameters from reference dataset on subset (fixes 5402) jmoralez (5416)
- [python-package] ignore training set on early stopping callback (fixes 5354) jmoralez (5412)
- [fix] change the destructor of ScoreUpdater to virtual (fixes 5400) shiyu1994 (5403)
- Add default definition for GetColWiseData and GetColWiseData shiyu1994 (5413)
- Fix potential overflow in linear trees StrikerRUS (5395)
- Use double precision in threaded calculation of linear tree coefficients (fixes 5226) btrotta (5368)
- [R-package] raise an informative error when custom objective produces incorrect output (fixes 5323) jmoralez (5329)
- Clear split info buffer in cost efficient gradient boosting before every iteration (fix partially 3679) shiyu1994 (5164)
- [c++][fix] check nullable of bin mappers in dataset_loader.cpp (fix 5221) shiyu1994 (5258)
- [python] Fix training on subset constructed without params StrikerRUS (5213)
- Check existence of inet_pton for win32 in CMakeLists.txt (fixes 5019) shiyu1994 (5159)
- Fix potential overflow "Multiplication result converted to larger type" StrikerRUS (5189)
- [R-package] ensure that callbacks respect verbosity from params jameslamb (5199)
- fix precision lost in tree's ToIfElse Grass-CLP (5187)
- fix some wrong format specifiers StrikerRUS (5190)
- [R-package] allow use of categorical_features in Dataset when raw data does not have column names (fixes 4374) jmoralez (5184)
- [c-api] check number of features when retrieving number of bins jmoralez (5183)
- [CUDA] Fix integer overflow in cuda row-wise data shiyu1994 (5167)
- [R-package] ensure values in params override keyword arguments to predict() (fixes 4670) jameslamb (5122)
- check nullable of bin_mappers in DatasetLoader::CheckCategoricalFeatureNumBin (fix 5145) shiyu1994 (5146)
- [CUDA] Fix row-wise histogram construction with dense data matrix shiyu1994 (5103)
- [fix] fix duplicate added initial scores for single-leaf trees shiyu1994 (5050)
- [python] fixes for supporting 2d numpy arrays for predictions, grads and hess in multiclass custom objective and eval StrikerRUS (5030)
- CUDATreeLearner: free GPU memory in destructor if any allocated denmoroz (4963)
- Use `delete[]` where appropriate instead of `delete` david-cortes (4984)
- Pass train dataset parser config to valid dataset loading parser chjinche (4985)
- [R-package] Fix custom objective detection in `print.lgb.Booster()` StrikerRUS (4941)
- gpu allocate memory overflow (fixes 4926) jiapengwen (4928)
- [R-package] respect 'verbose' argument in lgb.cv() (fixes 4667) jameslamb (4903)
- [R-package] Apply patch for R4.2 on Windows shiyu1994 (4923)
- [R-package] respect aliases for objective and metric and lgb.train() and lgb.cv() jameslamb (4913)
- [python] raise an informative error instead of segfaulting when custom objective produces incorrect output yaxxie (4815)
- [R-package] fix handling of duplicate parameters (fixes 4521) jameslamb (4914)
- [R-package] update parameter 'verbosity' based on keyword arg 'verbose' jameslamb (4899)
- [R-package] fix CVBooster reset_parameter() method (fixes 4900) jameslamb (4901)
- [python] reset storage in record evaluation callback each time before starting training StrikerRUS (4885)
- [python] reset storages in early stopping callback after finishing training StrikerRUS (4868)
- [R-package] fix `--no-build-vignettes` option for `build-cran-package.sh` jameslamb (4848)
- [python][docs] fix type hints for custom functions and remove vague `array-like` wording StrikerRUS (4816)
- Always respect forced splits, even when feature_fraction < 1.0 (fixes 4601) tongwu-msft (4725)
- Reset OpenMP thread number if num_threads <= 0 hzy46 (4704)

📖 Documentation

- [docs] fix broken link to contributor GitHub account jameslamb (5959)
- [docs] add versionadded notes for v4.0.0 features jameslamb (5948)
- [docs] Add scikit-learn for intersphinx (fixes 5954) thomasjpfan (5956)
- [docs] more fixes for broken links jameslamb (5941)
- [docs] remove outdated information in Python install docs jameslamb (5938)
- [docs] fix broken links in docs jameslamb (5939)
- [docs] add quantized training paper to docs jameslamb (5923)
- [docs] Update Quick Start jaceklaskowski (5900)
- [docs] recommend a more efficient source installation of the python package jameslamb (5881)
- adjusted bagging_freq parameter description moziada (5698)
- [docs] remove unnecessary interactivity in 'docker run' instructions jameslamb (5692)
- [docs] [R-package] mention {bonsai} in the docs jameslamb (5652)
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- [R-package] [docs] add intro vignette (3946) jameslamb (4775)
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- [python] enforce a floor of Python 3.6 (fixes 5004) PyVCEchecker (5006)
- Update versions of LightGBM dependencies StrikerRUS (4935)
- [tests][python] remove compatibility code for old versions in tests StrikerRUS (4978)
- [ci] use conda-forge in Windows CI jobs and Docker images StrikerRUS (4993)
- [ci] use `latest` tag again for Ubuntu 14 CI Docker StrikerRUS (5001)
- [ci] use conda-forge in Linux and macOS CI jobs jameslamb (4953)
- [ci] upgrade to R 4.1.2 in CI, change approach to macOS-latest R CI builds (fixes 4988) jameslamb (4989)
- [ci] bump CUDA version from `11.5.0` to `11.5.1` at CI StrikerRUS (4967)
- [ci] use `-1` for exit code in case of failure StrikerRUS (4939)
- [tests][R-package] use one `` symbol for comments StrikerRUS (4940)
- [ci] bump CUDA version from 11.4.2 to 11.5.0 at CI StrikerRUS (4937)
- [ci] Bump version for development StrikerRUS (4933)
- [R-package] [tests] remove uses of testthat::context() jameslamb (4915)
- [R-package][tests] remove uses of `testthat::expect_is()` jameslamb (4916)
- [R-package] remove unnecessary comments and fix typos in comments jameslamb (4902)
- [R-package] reduce verbosity in tests using lgb.train() jameslamb (4896)
- [tests][python-package] change boston dataset to synthetic dataset in tests that don't check score jmoralez (4895)
- [R-package] reduce verbosity in some unit tests jameslamb (4879)
- [R-package] remove unused callback cb.reset.parameter jameslamb (4871)
- [python-package][dask] handle failures parsing worker host names jameslamb (4852)
- [python-package] [dask] fix mypy error about worker_addresses jameslamb (4851)
- [python] remove workaround for `UnboundLocalError` in early stopping callback for Python 2 StrikerRUS (4855)
- [python-package] remove unused imports jameslamb (4850)
- [python-package] fix mypy errors in engine.py jameslamb (4839)
- [python-package] [dask] fix mypy errors from dask.py docstrings jameslamb (4844)
- [python-package] fix mypy errors in sklearn.py jameslamb (4837)
- [tests][dask] fix argument names in custom eval function in Dask test StrikerRUS (4833)
- [python-package] fix mypy errors in plotting.py jameslamb (4838)
- [python-package] fix mypy error about missing type hint in dask.py jameslamb (4840)
- [python-package] fix mypy errors in compat.py and setup.py jameslamb (4836)
- [docs][python] simplify mocking in docs StrikerRUS (4830)
- [python] add type hints to `_compare_params_for_warning()` and make it reusable StrikerRUS (4824)
- [R-package] Move R6 to Imports david-cortes (4812)
- [ci] Fix CI job for R artifact StrikerRUS (4811)
- [ci] fix getting status of optional workflows in PRs with a lot of comments StrikerRUS (4806)
- [python] add type hints for custom objective and metric functions in scikit-learn interface jameslamb (4547)
- [c_api] Improve ANSI compatibility by avoiding <stdbool.h> drewmiller (4697)
- [ci] ignore CMakeLint errors related to package names StrikerRUS (4801)
- [ci] fix CMakeLint errors related to function naming case StrikerRUS (4794)
- [ci] simplify processing of `CMAKE_CUDA_FLAGS` variable in `CMakeLists.txt` StrikerRUS (4799)
- [ci] fix CMakeLint `linelength` errors StrikerRUS (4796)
- [ci] use pure `endif()` and `endfunction()` without expression inside in `CMakeLists.txt` StrikerRUS (4798)
- cmake: use object library to avoid duplicate compilation. cyfdecyf (4489)
- Suppress categorical warning (fixes 3379) hzy46 (4768)
- [ci][tests][python] remove assertion for `filename` that is no longer true with new version of graphviz StrikerRUS (4778)
- [ci] Revert temp workaround for `freetype` version StrikerRUS (4776)
- [ci] increase timeout for valgrind job to 240 minutes jameslamb (4773)
- [python] improve warning message about aliases in `cv()` function StrikerRUS (4766)
- [ci] Temporary pin dask version at CI StrikerRUS (4770)
- [ci] use wch1/r-debug image in Solaris tests jameslamb (4765)
- [ci] upgrade actions/checkout to v2.4.0 jameslamb (4763)
- [docs][python] add `datatable` to the mocked modules during docs building process and sort them alphabetically StrikerRUS (4750)
- [R-package] allow use of custom R executable when building CRAN package jameslamb (4754)
- [R-package] remove temporary files created in configure.win jameslamb (4752)
- [ci] indicate support of Monterey StrikerRUS (4732)
- [python] Make dummy classes constructible with any arguments StrikerRUS (4749)
- [ci] Temporary pin freetype version at Windows CI StrikerRUS (4747)
- Remove checks for label when loading dataset from binary file because label is ignored in that case StrikerRUS (4737)
- [tests][python] add test for non-serializable callback StrikerRUS (4741)
- Improve warning wordings StrikerRUS (4731)
- [ci] Bump version for development StrikerRUS (4730)
- Add some warnings when loading dataset from binary file StrikerRUS (4724)

3.3.5

Changes

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

See 5661 and 5662 for context.

This release only contains the changes, relative to `v3.3.4`, necessary to prevent removal of the R package from CRAN.

💡 New Features

None

🔨 Breaking

None

🚀 Efficiency Improvement

None

🐛 Bug Fixes

- [ci] [R-package] fix clang 15 warning about unqualified calls (fixes 5661) jameslamb (662)

📖 Documentation

None

🧰 Maintenance

None

3.3.4

Changes

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

See 5618 and 5619 for context.

This release only contains the changes, relative to `v3.3.3`, necessary to prevent removal of the R package from CRAN.

💡 New Features

None

🔨 Breaking

None

🚀 Efficiency Improvement

None

🐛 Bug Fixes

- prefer 'vsnprintf' to 'vsprintf' jameslamb (5561)

📖 Documentation

None

🧰 Maintenance

- [ci] test against R 4.2.2 jameslamb (5621)

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