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lightgbm

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LightGBM Python-package

Last release 2 months ago
18 Jul 2026
Release timing varies
gaps range from 3 weeks to 1.4 years
Some releases are documented
notes for 22 of 37 stable releases
Nothing withdrawn
no release was ever pulled
9 years old
38 releases · first in 2017

Release timeline

38 releases since 2017

2017201920212023

Releases

4.0.013 Jul 2023
This release contains all previously-unreleased changes since v3.3.1 over 1.5 years ago ( link ).
Changes

This release contains all previously-unreleased changes since v3.3.1 over 1.5 years ago (link).

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)

support for C++17

Python package:

now uses scikit-build-core (link) 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 pypa/pip#11358)

see https://github.com/microsoft/LightGBM/blob/master/python-package/README.rst for new patterns

see pypa/pip#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_
Note truncated.

3.3.09 Oct 2021Deprecated

[python] deprecate "auto" value of ylabel argument of plot_metric() function @StrikerRUS

Changes

💡 New Features

allow inclusion in C programs @drewmiller (#4608)
add param aliases from scikit-learn @StrikerRUS (#4637)
[python] add placeholders to titles in plotting functions @StrikerRUS (#4614)
[python-package] Support 2d collections as input for init_score in multiclass classification task @jmoralez (#4150)
[python] add parameter object_hook to method dump_model @xadupre (#4533)
[python] support Dataset.get_data for Sequence input. @cyfdecyf (#4472)
[python] allow to pass some params as pathlib.Path objects @StrikerRUS (#4440)
[python-package] Create Dataset from multiple data files @cyfdecyf (#4089)
[dask] add support for eval sets and custom eval functions @ffineis (#4101)
Add linear leaf models to json output (fixes #4186) @btrotta (#4329)
[dask] run Dask tests on aarch64 architecture @StrikerRUS (#3996)
[python] handle arbitrary length feature names in Python-package @StrikerRUS (#4293)
Precise text file parsing @cyfdecyf (#4081)
added aliases to params @StrikerRUS (#4205)
[swig] add wrapper for LGBM_DatasetGetFeatureNames @shuttie (#4103)

🔨 Breaking

[python] deprecate "auto" value of ylabel argument of plot_metric() function @StrikerRUS (#4624)
[python] rename print_evaluation() into log_evaluation() @StrikerRUS (#4604)
[RFC][python] deprecate advanced args of train() and cv() functions and sklearn wrapper @StrikerRUS (#4574)
[RFC][python] deprecate silent and standalone verbose args. Prefer global verbose param @StrikerRUS (#4577)
[python] add 'auto' value for importance_type param in plotting @StrikerRUS (#4570)
[dask] Make output of feature contribution predictions for sparse matrices match those from sklearn estimators (fixes #3881) @jameslamb (#4378)
[R-package] change default nrounds to 100 to match LightGBM core library default @david-cortes (#4197)

🚀 Efficiency Improvement

simplify and speed up comparisons for splits with identical gains @jameslamb (#4542)
factor out .size() checks in GetDataType() @jameslamb (#4541)
consolidate duplicate conditions in TextReader @jameslamb (#4530)
[python] replace numpy.zeros with numpy.empty for the speedup @StrikerRUS (#4410)
[R-package] avoid unnecessary computation of std deviations in lgb.cv() @jameslamb (#4360)
Replace division of exponential in Gamma loss @lorentzenchr (#4289)

🐛 Bug Fixes

[R-package] fix segfaults caused by missing Booster and Dataset handles (fixes #4208) @jameslamb (#4586)
move Network method implementations from network.h to network.cpp (fixes #4464) @jameslamb (#4496)
[R-package] prevent memory leak if pointer fails to allocate @david-cortes (#4613)
[R-package] Fix R memory leaks (fixes #4282, fixes #3462) @david-cortes (#4597)
[python][sklearn] respect eval_at aliases in keyword arguments @StrikerRUS (#4599)
[dask] Fixed Dask type annotation @StrikerRUS (#4558)
[R-package] allow construction of Dataset from CSV without header (fixes #4553) @jameslamb (#4554)
[R-package] fix OpenMP checking on macOS (fixes #4131) @jameslamb (#4507)
[R-package] pass R-configured compiler flags to checks in configure @jameslamb (#4506)
[R-package] use C++ compiler for pre-compile checks on Windows @jameslamb (#4504)
[dask] find all needed ports in each host at once (fixes #4458) @jmoralez (#4498)
Fix undefined behavior with NaN input in CategoricalDecision() @hcho3 (#4468)
[dask] determine output shape of array in predict (fixes #4285) @jmoralez (#4351)
[fix] fix Reservoir Sampling in Sample of random.h (fix #4371 and #4134) @shiyu1994 (#4450)
[CUDA] fix CUDA memory error by reducing block number (#4315) @RobinDong (#4327)
[R-package] fix protection stack imbalance and unprotected objects (fixes #4390) @fabsig (#4391)
[dask] pass additional predict() parameters through when input is a Dask Array @jameslamb (#4399)
fix param aliases @StrikerRUS (#4387)
sync for init score of binary objective function @loveclj (#4332)
Fix undefined behavior in ArrayArgs::Partition() when interval size is 1 (fixes #4272) @kruda (#4280)
Log warning instead of fatal when parsing float get under/overflow. @cyfdecyf (#4336)
[fix] fix Sample when sampling only one element (fix #4134) @shiyu1994 (#4324)
[R-package] move more finalizer logic into C++ side to address memory leaks @jameslamb (#4353)
[tests][python] fix f-string in test_dask.py @StrikerRUS (#4373)
[fix] skip empty bins when calculating cnt_in_bin in BinMapper::FindBin (fix #4301) @shiyu1994 (#4325)
[fix] fix GatherInfoForThresholdNumerical boundary (fix #4286) @shiyu1994 (#4322)
fix calculation of weighted gamma loss (fixes #4174) @mayer79 (#4283)
[R-package] prevent symbol lookup conflicts (fixes #4045) @jameslamb (#4155)
[R-package] avoid misleading warnings when using interaction constraints (fixes #4108) @jameslamb (#4232)
[fix] Fix bug in data distributed learning with local empty leaf @shiyu1994 (#4185)
fix: Dataset::CreateValid init fields which saves to binary. @cyfdecyf (#4177)

📖 Documentation

[docs] add Mars to docs @StrikerRUS (#4616)
[docs] update link to MinGW-w64 site @StrikerRUS (#4606)
[docs] add lightgbm_ray to docs @jameslamb (#4584)
[docs][python] Refer to functions as callable in docstrings @StrikerRUS (#4575)
[R-package] fix warnings in demos @jameslamb (#4569)
[R-package] fix warnings in examples @jameslamb (#4568)
[python][docs] Refer to string type as str in docstrings @StrikerRUS (#4565)
[docs] add José Morales to repo maintainers @StrikerRUS (#4563)
[docs] update links to SynapseML (former MMLSpark) @StrikerRUS (#4564)
[python][docs] Refer to string type as str and add commas in list of ... types @StrikerRUS (#4557)
[docs][python] Improve description of eval_result argument in record_evaluation() @StrikerRUS (#4559)
[doc] Add link to Neptune hyperparam tuning guide @Blaizzy (#4529)
[docs] Update link to daal4py in README @StrikerRUS (#4532)
[docs] Add notes in installation guide, including ones about OpenMP @StrikerRUS (#4520)
[docs] [R-package] use CRAN-style builds when building pkgdown site @jameslamb (#4513)
[docs] Update link to mlr3-compliant interface in README @StrikerRUS (#4509)
[docs] document CLI behavior when label_column is omitted @jameslamb (#4485)
[docs] clarify description of prediction early stopping @StrikerRUS (#4411)
[docs][python] add versionadded to Sequence class in Python wrapper @StrikerRUS (#4441)
[docs] add lleaves to README @StrikerRUS (#4431)
[docs] Add shapash to the list of related projects @StrikerRUS (#4408)
[docs] update link to LightGBM example in MMLSpark repo @StrikerRUS (#4401)
[docs][R-package] add authors in R-package description @StrikerRUS (#4395)
fix: typo in python class _InnerPredictor docstring @cyfdecyf (#4389)
[dask] Dask Vector types for group, init_score, sample_weights (fixes #4375) @ffineis (#4380)
[docs] document sanitizers @StrikerRUS (#4365)
[docs][python] enhance keep_training_booster param description @StrikerRUS (#4364)
[docs] add anchor for nightly builds in docs @StrikerRUS (#4366)
[docs] document how to pass multi-value params from Python and R (fixes #4345) @jameslamb (#4346)
[docs] make building of C++ tests section collapsable @StrikerRUS (#4340)
[docs] replace broken mmlspark notebook link in docs @jameslamb (#4303)
[docs] clarify docs for LGBM_BoosterGetEvalNames and LGBM_BoosterGetEvalCounts (fixes #4264) @jameslamb (#4270)
[docs][R-package] update docs on C++ interface @jameslamb (#4257)
[docs][python] update some docs related to custom objective @StrikerRUS (#4245)
[docs][python][scikit-learn] added note for LGBMRanker @StrikerRUS (#4243)
[docs] fix broken MS MPI link in Installation Guide @jameslamb (#4224)
[R-package] clarify parameter documentation (fixes #4193) @jameslamb (#4202)
[docs][R-package] Update the explanation of num_threads (fixes #4192) @issactoast (#4199)
[docs] add working dir to R package docker run examples @jameslamb (#4190)
[docs] fix markdown in docs @StrikerRUS (#4191)
[docs] Add changes to gcc-tips @akshitadixit (#4187)
[docs] bring back macOS installation method with Homebrew formula in docs @StrikerRUS (#4182)

🧰 Maintenance

v3.3.0 release (fixes #4310) @jameslamb (#4633)
fix possible precision loss in xentropy and fair loss objectives @jameslamb (#4651)
[tests][python-package] refactor list_to_1d_numpy test to run without pandas installed @jmoralez (#4639)
[python] add type hints to _safe_call @strobelTha (#4641)
remove unused DCGCalculator::CalDCGAtK() @jameslamb (#4650)
[python][sklearn] add __sklearn_is_fitted__() method to be better compatible with scikit-learn API @StrikerRUS (#4636)
[ci] Use the latest gcc version in macOS CI jobs @StrikerRUS (#4640)
remove duplicated debug printing in CMakeLists.txt for MPI @StrikerRUS (#4644)
remove unused BinMapper::SizeForSpecificBin() @jameslamb (#4643)
[ci] ignore certificates for kitware apt channel in CUDA jobs (fixes #4646) @jameslamb (#4648)
[ci] bump CUDA version from 11.4.0 to 11.4.2 at CI @StrikerRUS (#4628)
[R-package] introduce Dataset methods set_field() and get_field() @jameslamb (#4571)
[ci] Recover running CUDA tests at CI (fixed #4611) @shiyu1994 (#4621)
[ci] Run cmakelint at CI and fix some errors @StrikerRUS (#4617)
[python] initialize installation options with boolean values in setup.py @StrikerRUS (#4620)
[python] fix mypy error in dask.py @StrikerRUS (#4615)
[ci] Stop running CUDA tests at CI @StrikerRUS (#4611)
[R-package] avoid unnecessary computation and add tests for Dataset set_reference() method @jameslamb (#4587)
[ci] fix link to LightGBM public e-mail @StrikerRUS (#4603)
[tests][dask] Use workers hostname in tests (fixes #4594) @jmoralez (#4595)
prefer spaces to tabs in CMakeLists.txt @jameslamb (#4593)
[ci] skip Dask tests on QEMU builds @jameslamb (#4600)
[ci] simplify docker info parsing in QEMU builds @StrikerRUS (#4592)
[ci] explicitly set --platform when running aarch64 image in QEMU builds @jameslamb (#4579)
[R-package] fix inaccurate error message in Dataset get_colnames() method @jameslamb (#4588)
[R-package] preserve uses of '...' in Dataset slice() method @jameslamb (#4581)
[R-package] fix inaccurate comments, remove unnecessary comments @jameslamb (#4582)
[R-package] deprecate the use of 'info' in Dataset @jameslamb (#4573)
[R-package] deprecate uses of '...' in Dataset slice() method @jameslamb (#4572)
[R-package] use {testthat} SummaryReporter in tests @jameslamb (#4567)
[python] Use double type for init_score array when set by predictor @StrikerRUS (#4510)
[ci] upgrade R to 4.1.1 @jameslamb (#4560)
[python] add type hints on train() in engine.py @jameslamb (#4544)
[R-package] add deprecation warnings on uses of '...' in predict() and reset_parameter() @jameslamb (#4548)
[docs] Clarify the fact that predict() on a file does not support saved Datasets (fixes #4034) @jameslamb (#4545)
[ci] Check for MM_PREFETCH and MM_MALLOC not only in CRAN builds @StrikerRUS (#4540)
[ci] Add checks that OpenMP is used in R-package builds @StrikerRUS (#4538)
[ci] Add checks that MM_PREFETCH and MM_MALLOC are used in CRAN builds @StrikerRUS (#4536)
[python] add type hints to logging functions in basic.py @jameslamb (#4527)
[python] add type hints in docs/conf.py @jameslamb (#4526)
[R-package] remove unused '...' in Booster constructor @jameslamb (#4523)
[R-package] add deprecation warnings about some uses of '...' @jameslamb (#4522)
[ci] use flag '--allow-releaseinfo-change' in some 'apt-get update' calls @jameslamb (#4524)
[ci] replace uses of backticks in test.sh with $() @jameslamb (#4519)
[ci] move Solaris and valgrind test steps into scripts @jameslamb (#4503)
[tests][dask] reduce number of collisions tests @jmoralez (#4501)
[R-package] remove unused variable R_SCRIPT in configure.win @jameslamb (#4505)
Update c_api LGBM_SampleIndices() comment. @cyfdecyf (#4490)
[R-package] quote path variables in build-cran-package.sh @jameslamb (#4499)
[python][tests] refactor tests with Sequence input @StrikerRUS (#4495)
[R-package] limit exported symbols in DLL @jameslamb (#4494)
[docs][ci] bump versions of R-package dependencies at RTD @StrikerRUS (#4488)
remove examples/.gitignore @jameslamb (#4486)
[python] Add type hints to helpers/parameter_generator.py @sagnik1511 (#4474)
[refactor] Use CreateSampleIndices() in c_api.cpp @cyfdecyf (#4478)
[python] parallelize MinGW make similarly to Unix make command @StrikerRUS (#4462)
[ci] remove preinstalled possibly conflicting software from PATH in CI jobs @StrikerRUS (#4463)
[ci] Add CI job running rchk on the R package (fixes #4400) @jameslamb (#4449)
[python] migrate to pathlib in setup.py and use absolute() on paths first @StrikerRUS (#4444)
[ci] add support for 8.0 and 8.6 CUDA archs @StrikerRUS (#4454)
[tests][python] added tests for early stop in prediction in ranking task @StrikerRUS (#4457)
[ci] bump CUDA version from 11.2.2 to 11.4.0 at CI @StrikerRUS (#4453)
[tests] clarify RuntimeError in distributed tests @StrikerRUS (#4452)
[python-package] use toarray() instead of todense() in tests and examples @jameslamb (#4446)
[python] migrate to pathlib in distributed tests @StrikerRUS (#4443)
[python] minor refactoring of Python code @StrikerRUS (#4442)
[tests][python] refactor file loading routine in C API test @StrikerRUS (#4437)
[tests] fix deprecation numpy warning @StrikerRUS (#4439)
[python-package] convert string concatenation to f-strings in test_engine.py (fixes #4136) @jameslamb (#4436)
[python] migrate to pathlib in python examples @StrikerRUS (#4428)
[python] migrate to pathlib in helper scripts @StrikerRUS (#4434)
[tests][cli] distributed training @jmoralez (#4254)
[python] migrate to pathlib in python tests @StrikerRUS (#4435)
[python] migrate to f-strings in interactive_plot_example.ipynb @StrikerRUS (#4430)
[ci] ensure interactive_plot_example notebook is run in interactive mode at CI @StrikerRUS (#4432)
[ci] add h5 files into .gitignore @StrikerRUS (#4429)
[python] migrate to pathlib in conf.py @StrikerRUS (#4427)
[python-package] f-string format updated in plot_example.py @amanjha8100 (#4421)
[python] migrate to pathlib in create_nuget.py @StrikerRUS (#4422)
[python-package] Add type hints to init for LGBMModel @seanytak (#4420)
[SWIG] fix compiler warning about unused variable in SWIG @StrikerRUS (#4419)
[tests] fix compiler warning about types conversion in cpp tests @StrikerRUS (#4418)
[dask] fix typehint on _pad_eval_names() @jameslamb (#4413)
[python] Add type hints to python-package/lightgbm/plotting.py @WestonKing-Leatham (#4367)
[tests][dask] add missing compute() in Dask test @jameslamb (#4412)
[tests][ci] run cpp tests with sanitizers on Linux and macOS @StrikerRUS (#4330)
[ci] [R-package] increase timeout on valgrind job @jameslamb (#4404)
[python] Improving the syntax of the fstrings in the file: .\examples\python-guide\advanced_example.py @sayantan1410 (#4386)
[python] Improving the syntax of prints in simple_example.py and sklearn_example.py @StrikerRUS (#4396)
[R-package] remove unnecessary comments @jameslamb (#4383)
[ci] Increase timeout value for QEMU builds @StrikerRUS (#4385)
[R-package] consolidate duplicate lists of Dataset info keys @jameslamb (#4381)
[tests] replace pytest.parametrize @StrikerRUS (#4377)
[ci] [R-package] add unit tests on monotone constraints @jameslamb (#4352)
[python] add type hints to check_dynamic_dependencies.py @greyhere (#4382)
[python] add type hints to python-package/setup.py @greyhere (#4376)
[R-package] remove defaults in internal functions @jameslamb (#4361)
[python] improving the syntax of the fstring in the file : tests/python_package_test/test_dask.py @sayantan1410 (#4358)
Updated tests/python_package_test/test_plotting.py to use f-strings @WestonKing-Leatham (#4359)
[R-package] remove unnecessary library() calls in tests @jameslamb (#4354)
[python-package] use f-strings for concatenation in examples/python-guide/logistic_regression.py @sagnik1511 (#4356)
[python-package] updated test_consistency.py to use f-strings @sayantan1410 (#4348)
[R-package] resolve test warning about is.na() and handles @jameslamb (#4341)
[R-package] factor out lgb.check.r6.class() @jameslamb (#4343)
[R-package] remove lgb.last_error() and LGBM_GetLastError_R() @jameslamb (#4344)
[R-package] remove unused argument in early stopping callback @jameslamb (#4342)
[R-package] remove uses of ... in Predictor constructor @jameslamb (#4338)
[R-package] remove unused code in lgb.params2str() @jameslamb (#4337)
[ci] upgrade R to 4.1.0 in CI @StrikerRUS (#4328)
[ci] cmake: remove linking to sanitizer library @cyfdecyf (#4176)
[ci] Increase timeout value for QEMU builds @StrikerRUS (#4326)
[python] improving the syntax of the fstring in the file : tests/python_package_test/test_basic.py @sayantan1410 (#4312)
[docs][python] fix LGBMRanker docstring @StrikerRUS (#4306)
[python] improve error message for required packages @StrikerRUS (#4304)
[tests][python] Handle data types more accurate in C API test @StrikerRUS (#4297)
[python-package] Improve Graphviz import error message (fixes #4299) @AngelikaAntsmae (#4302)
[python] Handle integer types more accurate in Python-to-C interface @StrikerRUS (#4292)
[python] Improving the syntax of the f-strings in the file: tests/c_api_test/test.py @sayantan1410 (#4294)
[CUDA] Add CUDA_ARCHITECTURES to fix CMake warnings (#3754) @RobinDong (#4268)
[R-package] Handle integer types more accurate in R-to-C interface @StrikerRUS (#4291)
[R-package] suppress Wcast-function-type warning in CMake-based gcc and MinGW builds (fixes #4273) @jameslamb (#4274)
[python] added f-string to python-package/lightgbm/basic.py @NovusEdge (#4143)
[python] added f-strings to python-package/lightgbm/dask.py @NovusEdge (#4144)
[ci] pin dask and distributed in CI jobs @jameslamb (#4288)
Migrate to f-strings in python-package\lightgbm\plotting.py (#4136) @akshitadixit (#4279)
[python] added f-strings to helpers/parameter_generator.py @NovusEdge (#4146)
[python] added f-string to python-package/lightgbm/callback.py @NovusEdge (#4142)
[R-package] manage Dataset and Booster handles as R external pointers (fixes #3016) @jameslamb (#4265)
[ci][docs] Unpin Sphinx version @StrikerRUS (#4277)
[docs] remove extra spaces in comments and docs @jameslamb (#4269)
[R-package] move creation of character vectors in some methods to C++ side @jameslamb (#4256)
[ci][docs] Restrict Sphinx version @StrikerRUS (#4267)
[python] added f-strings to python-package/lightgbm/engine.py @kantajitshaw (#4258)
fix param name @StrikerRUS (#4253)
[R-package] Use R standard routines to access character data in C++ @jameslamb (#4252)
[ci] Delete lock.yml @StrikerRUS (#4251)
Correct spelling @az0 (#4250)
[R-package] Use R standard routines to access numeric and integer array data in C++ @jameslamb (#4247)
[R-package] use R standard routine to access read-only ints passed to C++ @jameslamb (#4246)
[R-package] move Rinternals.h closer to where it is used @jameslamb (#4248)
[R-package] Convert LGBM_GetLastError_R to use R built-in types @jameslamb (#4242)
[R-package] remove pre-allocated call_state in C++ calls @jameslamb (#4244)
[ci] Install graphviz system-widely @StrikerRUS (#4238)
show specific error message in TCP accept/send/receive logs @jameslamb (#4128)
[ci] [python-package] remove unused import in tests @jameslamb (#4233)
Fix typo in binary file already exists error message. @cyfdecyf (#4231)
[R-package] fix warnings in unit tests @jameslamb (#4225)
[python][scikit-learn] change MRO @StrikerRUS (#3192)
[ci][docs] Unpin Breathe version in requirements.txt @StrikerRUS (#4222)
[R-package] Move error handling into C++ side @jameslamb (#4163)
[R-package] fix grammar in comments @david-cortes (#4215)
[dask] Fix typo mentioned in 4101 @ffineis (#4214)
[ci] parallelize R package installs in CI jobs @jameslamb (#4198)
[python] Migrate to f-strings in python-package/lightgbm/sklearn.py @akshitadixit (#4188)
[R-package] Make returned feature importances from lgb.importance() visible by default @david-cortes (#4194)
[ci] run cpp tests at CI @StrikerRUS (#4166)
[ci] unpin CMake version for CUDA + Clang toolchain @StrikerRUS (#4183)
[ci] Restore CUDA jobs at CI @StrikerRUS (#4172)
[ci] Bump version for development @StrikerRUS (#4171)

Open source →

3.2.022 Mar 2021Deprecated

[ci] fix deprecated 'brew cask install' call @jameslamb

Changes

💡 New Features

[SWIG] Add streaming data support + cpp tests @AlbertoEAF (#3997)
[dask] Include support for init_score @jmoralez (#3950)
[dask] [python-package] include support for column array as label @jmoralez (#3943)
[dask] allow tight control over ports @jameslamb (#3994)
Run tests and build Python wheels for aarch64 architecture @StrikerRUS (#3948)
[dask] Add support for 'pred_leaf' in Dask estimators (fixes #3792) @jameslamb (#3919)
[SWIG] add size_t manipulation functions @shuttie (#3895)
Add new task type: "save_binary". @cyfdecyf (#3651)
[CUDA] added support for Clang @StrikerRUS (#3886)
[python] Start supporting Python 3.9 @StrikerRUS (#3693)
[python] Allow to register custom logger in Python-package @StrikerRUS (#3820)
[dask] Support pred_contrib in Dask predict() methods (fixes #3713) @jameslamb (#3774)
[python-package] [dask] Add DaskLGBMRanker @ffineis (#3708)
[R-package] Add GPU install options (fixes #3765) @jameslamb (#3779)
[R-package] enable use of trees with linear models at leaves (fixes #3319) @jameslamb (#3699)
support more filesystem as the storage for model file @htgeis (#3730)
[R-package] add support for non-ASCII feature names (fixes #2983) @jameslamb (#3647)
[R-package] allow access to params in Booster @jameslamb (#3662)
Trees with linear models at leaves @btrotta (#3299)
[python] [dask] add initial dask integration @SfinxCZ (#3515)
[python] Windows wheels that support GPUs via OpenCL @itamarst (#3403)

🔨 Breaking

[ci][SWIG] update SWIG version and use separate CI job to produce SWIG artifacts @StrikerRUS (#3727)
[ci] indicate support of Big Sur and drop High Sierra @StrikerRUS (#3749)
[python] Drop Python 2 support @StrikerRUS (#3581)

🚀 Efficiency Improvement

[dask] use random ports in network setup @jmoralez (#3823)
Optimize array-from-ctypes in basic.py @asford (#3927)
Change Dataset::CopySubrow from group-wise to column-wise @shiyu1994 (#3720)
[python-package] remove unused Eigen files, compile with EIGEN_MPL2_ONLY (fixes #3684) @jameslamb (#3685)

🐛 Bug Fixes

Range check for DCG position discount lookup @ashok-ponnuswami-msft (#4069)
Fix parsing of non-finite values @mjmckp (#3942)
Set is_linear_ to false when it is absent from the model file @shiyu1994 (#4056)
Fix evalution of linear trees with a single leaf. @mjmckp (#3987)
Use high precision conversion from double to string in Tree::ToString() for new linear tree members @mjmckp (#3938)
Fix for CreatePredictor function and VS2017 Debug build @mjmckp (#3937)
Fix access violation exception that can occur during invocation of loop lambda function when inner_start >= inner_end in 'For' template. @mjmckp (#3936)
[dask] remove extra 'client' kwarg in DaskLGBMRegressor @jameslamb (#3906)
[CUDA] Support CUDA 9 and test different CUDA versions at CI @StrikerRUS (#3880)
[dask] fix Dask docstrings and mimic sklearn wrapper importing way @StrikerRUS (#3855)
[python-package] respect parameter aliases for network params @jameslamb (#3813)
Create a new TcpSocket when connection failed @wjsi (#3840)
[dask] Drop aliases of core network parameters @StrikerRUS (#3843)
Don't copy more than has been allocated to device_features. @ChipKerchner (#3752)
Fix thread-safety in C API's PredictSingleRow @AlbertoEAF (#3771)
[dask] allow parameter aliases for local_listen_port, num_threads, tree_learner (fixes #3671) @jameslamb (#3789)
[dask] [python-package] Search for available ports when setting up network (fixes #3753) @jameslamb (#3766)
Update CUDA treelearner according to changes introduced for linear trees @StrikerRUS (#3750)
Ensure CUDA vector length is consistent with AlignedSize @ChipKerchner (#3748)
Initialize any_nan_ property of LinearTreeLearner @btrotta (#3709)
Fix bug in corner case with histogram bin mismatch @shiyu1994 (#3694)
move CheckParamConflict() after LogLevel processing @h-vetinari (#3742)
Fix bug in ExtractFeaturesFromMemory when predidct_fun_ is used @shiyu1994 (#3721)
Fix compiler warnings caused by implicit type conversion (fixes #3677) @btrotta (#3729)
fix test_monotone_constraints often fails on MPI builds @CharlesAuguste (#3683)
[R-package] remove broken default for file in readRDS / saveRDS functions @jameslamb (#3664)
Added static cast from double to float @sisco0 (#3678)
[docs] fix R documentation builds (fixes #3655) @jameslamb (#3656)
[python] add average precision into higher_better eval @penolove (#3649)
Fix model locale issue and improve model R/W performance. @AlbertoEAF (#3405)

📖 Documentation

[docs] add Yu Shi to repo maintainers @StrikerRUS (#4060)
[dask] add tutorial documentation (fixes #3814, fixes #3838) @jameslamb (#4030)
[docs] Add alt text on images in index.rst @marcelonieva7 (#4029)
[docs] update description of deterministic parameter @shiyu1994 (#4027)
[docs] Add alt text to image in Parameters-Tuning.rst @subhamagrawal7 (#4035)
[docs] Add FLAML for efficient hyperparameter optimization @qingyun-wu (#4013)
[DOCS] Update docs to note that pred_contrib is not available for linear trees @btrotta (#4006)
[doc] Reorganize documentation on distributed learning (fixes #3596) @jameslamb (#3951)
[docs] Change some 'parallel learning' references to 'distributed learning' @jameslamb (#4000)
[docs] fix typos in network docs @jameslamb (#3960)
[docs] add reference to Rust binding @StrikerRUS (#3954)
[R-package] fix duplicated return values in docs @philip-khor (#3955)
[DOCS] Update docs about linear tree and monotone constraints @btrotta (#3945)
[docs][dask] add versionadded note to Dask docs @jameslamb (#3935)
[docs][python] fix shape description of returned result for predict_proba @StrikerRUS (#3933)
[dask] [docs] Fix inaccuracies in API docs for Dask module (fixes #3871) @jameslamb (#3930)
[docs] fix typo: one-hot coding should be one-hot encoding @gauravchopracg (#3898)
[docs] simplify bug report template @jameslamb (#3921)
[docs][dask] Add type of client_ property to docs @StrikerRUS (#3902)
[docs] make link checks badge clickable @StrikerRUS (#3901)
[CUDA][docs] explicitly require CUDA 9.0 or higher @StrikerRUS (#3885)
[docs] improve wordings and code style @StrikerRUS (#3887)
[docs] document CUDA version support @StrikerRUS (#3428)
[dask] Add type hints in Dask package @jameslamb (#3866)
[docs] fix docs for machine_list_filename param @StrikerRUS (#3863)
[R-package][docs] improve grouping in R API reference @StrikerRUS (#3854)
[R-package] Remove duplicated return values from docs @philip-khor (#3850)
[dask] warn if attempting to use tree_learner other than data parallel @jameslamb (#3848)
[dask][docs] initial setup for Dask docs @StrikerRUS (#3822)
[docs] bump min sphinx_rtd_theme version @StrikerRUS (#3803)
[docs] remove unused argument in docs config @StrikerRUS (#3801)
[docs] fix min CMake version in docs for macOS @StrikerRUS (#3799)
[docs] expand documentation on 'group' for ranking task @jameslamb (#3772)
[docs][python] add conda-forge install instructions @raybellwaves (#3544)
[docs][R-package] change obsolete wordings in R README @StrikerRUS (#3728)
[docs] [R-package] improve R-package docs on testing @jameslamb (#3724)
[docs] Remove Gitter and Slack (fixes #3689) @jameslamb (#3710)
[docs] add doc on min_data_in_leaf approximation (fixes #3634) @jameslamb (#3690)
[docs] add link to optuna examples @StrikerRUS (#3680)
[docs] fix MLflow spelling @StrikerRUS (#3668)
add 'mlr3learners.lightgbm' to README @t-wojciech (#3666)
[docs] add link to ML Flow and treesnip in LightGBM docs @jameslamb (#3663)
[docs] Add details on improving training speed @jameslamb (#3628)
[docs] added daal4py to related projects @StrikerRUS (#3638)
[docs] add Kubeflow operator repo and link to example @StrikerRUS (#3632)

🧰 Maintenance

v3.2.0 release @guolinke (#3872)
store all CMake files in one place @StrikerRUS (#4087)
[ci] upgrade R CI scripts to work on Ubuntu 20.04 @jameslamb (#4084)
[dask] remove unused imports from typing @jameslamb (#4079)
[ci] install Dask from main conda channel @StrikerRUS (#4076)
[tests][dask] simplify code in Dask tests @StrikerRUS (#4075)
[dask] [ci] fix flaky network-setup test @jameslamb (#4071)
[python-package] Some mypy fixes @AlbertoEAF (#3916)
[python-package] add type hints on Booster.set_network() @jameslamb (#4068)
[ci] run Dask examples on CI @StrikerRUS (#4064)
[python-package] Add type hint to the libpath file @deddyjobson (#4070)
Add CMake option to enable sanitizers and build gtest @hcho3 (#3555)
[ci] set 'pending' commit status for running R Solaris optional workflow @StrikerRUS (#4061)
[dask] raise more informative error for duplicates in 'machines' (fixes #4057) @jameslamb (#4059)
[dask] include multiclass-classification task in tests @jmoralez (#4048)
[ci] add CMake + R 3.6 test back (fixes #3469) @jameslamb (#4053)
[ci] fix R CMD CHECK note about example timings (fixes #4049) @jameslamb (#4055)
[ci] prevent getting incompatible dask and distributed versions @jameslamb (#4054)
[ci] ignore untitle Jupyter notebooks in .gitignore @jameslamb (#4047)
[ci] [R-package] upgrade to R 4.0.4 in CI @jameslamb (#4042)
[dask] [ci] add support for scikit-learn 0.24+ in tests (fixes #4031) @jameslamb (#4032)
[tests][dask] simplify fit calls in Dask tests @StrikerRUS (#4018)
[tests][python] Add test for single leaf in linear tree @StrikerRUS (#4015)
[dask] Reuse addresses saved in variable @StrikerRUS (#4016)
[ci] prefer older binary to new source for R packages on Mac builds (fixes #4008) @jameslamb (#4010)
[dask] use more specific method names on _DaskLGBMModel @jameslamb (#4004)
remove commented-out code in cross-entropy metric source @jameslamb (#3999)
[tests][dask] add scikit-learn compatibility tests (fixes #3894) @imjwang (#3947)
[tests][dask] make find-open-port test more reliable @jameslamb (#3993)
[ci][python] hotfix imports order @StrikerRUS (#3992)
[ci][python] run isort in CI linting job @StrikerRUS (#3990)
[ci][python] apply isort to python-package/lightgbm/compat.py #3958 @zyxue (#3968)
[ci][python] apply isort to python-package/lightgbm/engine.py #3958 @zyxue (#3970)
[ci][python] apply isort to tests/python_package_test/test_engine.py #3958 @zyxue (#3981)
[ci][python] apply isort to python-package/lightgbm/basic.py #3958 @zyxue (#3967)
[ci][python] apply isort to python-package/lightgbm/init.py #3958 @zyxue (#3966)
[ci][python] apply isort to python-package/lightgbm/sklearn.py #3958 @zyxue (#3973)
[ci][python] apply isort to tests/python_package_test/test_basic.py #3958 @zyxue (#3977)
[ci][python] apply isort to tests/python_package_test/test_consistency.py #3958 @zyxue (#3978)
[ci][python] apply isort to tests/python_package_test/test_plotting.py #3958 @zyxue (#3982)
[ci][python] apply isort to tests/python_package_test/test_utilities.py #3958 @zyxue (#3984)
[ci][python] apply isort to python-package/setup.py #3958 @zyxue (#3974)
[ci][python] apply isort to python-package/lightgbm/plotting.py #3958 @zyxue (#3972)
[ci][python] apply isort to tests/cpp_test/test.py #3958 @zyxue (#3976)
[ci][python] apply isort to tests/c_api_test/test_.py #3958 @zyxue (#3975)
[ci][python] apply isort to tests/python_package_test/test_dual.py #3958 @zyxue (#3980)
[ci][python] apply isort to python-package/lightgbm/libpath.py #3958 @zyxue (#3971)
[dask] reuse len(parts) as n_parts @ffineis (#3985)
[ci][python] apply isort to tests/python_package_test/test_dask.py #3958 @zyxue (#3979)
[ci][python] apply isort to examples/python-guide/sklearn_example.py #3958 @zyxue (#3965)
[ci][python] apply isort to python-package/lightgbm/dask.py #3958 @zyxue (#3969)
[python-package] fix some warnings from mypy @tara-jawahar (#3891)
[ci][python] apply isort to examples/python-guide/simple_example.py #3958 @zyxue (#3964)
[ci][python] apply isort to examples/python-guide/plot_example.py #3958 @zyxue (#3963)
[ci][python] apply isort to examples/python-guide/logistic_regression.py #3958 @zyxue (#3962)
[ci][python] apply isort to examples/python-guide/advanced_example.py #3958 @zyxue (#3961)
[ci][python] apply isort to docs/conf.py (#3958) @zyxue (#3959)
openmp_wrapper.h stubs signature use __GOMP_NOTHROW @bsergean (#3923)
[dask] test that Dask automatically treats 'category' columns as categorical features @jameslamb (#3932)
fix compilation warnings in CUDA treelearner @StrikerRUS (#3889)
[ci] prefer curl to wget @StrikerRUS (#3928)
[dask] test training when a worker has no data @jmoralez (#3897)
[ci] remove unused variable from PATH @StrikerRUS (#3926)
[docs] fix typo in ChatOps command @StrikerRUS (#3922)
[ci] encode token in the same way as e-mail address for RHub @StrikerRUS (#3920)
[dask] Add unit tests that signatures are the same between Dask and scikit-learn estimators @GOusignu (#3911)
[ci] update e-mail and token for R Hub builds @StrikerRUS (#3917)
[ci][R-package] run R CRAN checks on Solaris by optional workflow @StrikerRUS (#3913)
[dask] Support Dask dataframes with 'category' columns (fixes #3861) @jameslamb (#3908)
fix typos in log messages @jameslamb (#3914)
[dask] remove unused private _client attribute @StrikerRUS (#3904)
[ci] Rename linkchecker job @StrikerRUS (#3903)
[dask] remove 'client' kwarg from fit() and predict() (fixes #3808) @jameslamb (#3883)
[ci] install Linkchecker only for check-links job @StrikerRUS (#3893)
[ci] move link checking to a cron job @jameslamb (#3890)
[dask] [python] client.rebalance on dask ranker test @ffineis (#3892)
[ci] added compiler in CUDA job name @StrikerRUS (#3888)
[docs][ci] drop special dependency requirements for RTD site @StrikerRUS (#3884)
[dask][tests] increase client close timeout for Dask tests @StrikerRUS (#3879)
[dask] fix teardown issues in Dask tests (fixes #3829) @jameslamb (#3869)
[ci][R-package] remove CI workaround with manual withr installation @StrikerRUS (#3878)
[ci] fall back to source installs of R packages if binary missing (fixes #3875) @jameslamb (#3876)
[ci] ignore CUDA-related strings in Python logger test @StrikerRUS (#3874)
[ci] fix R linting job (fixes #3873) @jameslamb (#3877)
[ci] improve and run CUDA jobs for every commit and PR @StrikerRUS (#3825)
[ci] add mypy to linting task @jameslamb (#3868)
[dask] add tests on warnings, fix incorrect variable in log @jameslamb (#3865)
[python] simplify param aliases handling @StrikerRUS (#3864)
[python] use better names for imported classes from extra libraries @StrikerRUS (#3862)
[python][tests] minor Python tests cleanup @StrikerRUS (#3860)
[dask] rename _LGBMModel to _DaskLGBMModel @jameslamb (#3859)
[ci] run artifacts packaging job on Ubuntu @StrikerRUS (#3757)
[python-package] migrate test_sklearn.py to pytest @thomasjpfan (#3844)
[dask] [python] Store co-local data parts as dicts instead of lists @ffineis (#3853)
[dask] merge local_predict tests into other tests (fixes #3833) @ShrillShrestha (#3842)
[dask] factor dask-ml out of tests (fixes #3796) @jameslamb (#3849)
[dask][tests] skip Dask tests when Dask is not installed and improve imports in Dask tests @StrikerRUS (#3852)
[dask][tests] reduce code duplication in Dask tests @StrikerRUS (#3828)
[ci] improve optional checks @StrikerRUS (#3826)
[dask][tests] move make_ranking into utils @StrikerRUS (#3827)
[ci] make sure we use documented Xcode version for producing artifacts @StrikerRUS (#3824)
[python][tests] transfer test_save_and_load_linear to test_engine @StrikerRUS (#3821)
[python-package] migrate test_plotting.py to pytest @thomasjpfan (#3811)
[dask] Address flaky test_ranker tests @ffineis (#3819)
[dask] [python-package] use keyword args for internal function calls @jameslamb (#3755)
[python][tests] use default tolerance for dual GPU+CPU test @StrikerRUS (#3810)
Move compute and eigen libraries to external_libs folder @StrikerRUS (#3809)
[python][tests] migrate test_engine.py to pytest @thomasjpfan (#3800)
[python][tests] remove unused import @StrikerRUS (#3806)
remove unused code @StrikerRUS (#3802)
[python-package] migrate test_consistency.py to pytest @thomasjpfan (#3798)
[dask] fix Dask import order @jameslamb (#3788)
[docs] fix current RTD failures @StrikerRUS (#3787)
[dask] reduce test times @jameslamb (#3786)
[ci][docs] set limit for max requests per second to one host in linkchecker @StrikerRUS (#3785)
Minor C API cleanup in predictor & SingleRowPredictor @AlbertoEAF (#3777)
[ci] revert forcing CMake to try compile static library for R-package @StrikerRUS (#3784)
[R-package][tests] remove unused lines in tests for the speedup @StrikerRUS (#3783)
[ci][docs] update linkchecker @StrikerRUS (#3773)
[tests][python] completely remove tempfile from test_basic @StrikerRUS (#3767)
[python][tests] Migrates test_basic.py to use pytest @thomasjpfan (#3764)
[ci] Slightly optimize optional workflows checks @StrikerRUS (#3762)
[ci] improve experience with optional GitHub workflows @StrikerRUS (#3740)
[ci] remove Travis (fixes #3519) @jameslamb (#3672)
[ci] move Python Mac jobs from Travis to GitHub Actions @jameslamb (#3745)
[ci] run Azure linux tasks on self-hosted runner pool @jameslamb (#3737)
[ci][docs] replace file extensions in docs during Sphinx build @StrikerRUS (#3738)
[ci] Move check-docs and lint jobs off Travis @jameslamb (#3726)
[R-package] Add explicit return statement to R functions. @zenggyu (#3703)
[ci] remove maxParallel limits on Azure DevOps @jameslamb (#3725)
[ci] remove flaky MinGW job for R @StrikerRUS (#3723)
[python][tests] small Python tests cleanup @StrikerRUS (#3715)
[python][ci] remove line in MANIFEST for nonexistent file @StrikerRUS (#3711)
[R-package] remove unused R_AS_INT64 @jameslamb (#3686)
[R-package] fix incorrect passing builds in valgrind checks (fixes #3704) @jameslamb (#3705)
[ci] fix deprecated 'brew cask install' call @jameslamb (#3692)
small code and docs refactoring @StrikerRUS (#3681)
[ci] remove unused CI checks, other small simplifications @jameslamb (#3688)
[ci] speed up files downloading for Windows CI @StrikerRUS (#3682)
[docs][ci] added docs about GPU support out of the box for Windows wheels and small refactoring for dual test @StrikerRUS (#3660)
[docs] fix RTD builds @StrikerRUS (#3644)
[python-package] remove unnecessary files to reduce sdist size @jameslamb (#3639)
clarify warning about small target values with MAPE (fixes #3608) @jameslamb (#3615)
[ci] Bump version for development @StrikerRUS (#3633)

Open source →

3.1.016 Nov 2020Deprecated

[R-package] remove deprecation warnings on lgb.prepare() functions @jameslamb

Changes

💡 New Features

Support deterministic @guolinke (#3494)
Add support to optimize for NDCG at a given truncation level @metpavel (#3425)
Add support for cuda version less then 10.0 @shipengfei92 (#3431)
Updated network retry delay strategy to scale @aakarshg (#3306)
added new GPU docker files @StrikerRUS (#3408)
Average precision score @btrotta (#3347)
Advanced method monotone constraints @CharlesAuguste (#3264)
Build integrated Python package library @tpboudreau (#3144)
Add support for CUDA-based GPU @ChipKerchner (#3160)
[Python] Refactors scikit-learn API to allow a list of evaluation metrics @gramirezespinoza (#3254)
[R-package] added support for first_metric_only (fixes #2368) @jameslamb (#2912)
[python][sklearn] be compatible with check_is_fitted sklearn function @StrikerRUS (#3329)

🔨 Breaking

[python] mark 3.1 version is the last one with Python 2 support @StrikerRUS (#3565)
bump minimal CMake version @StrikerRUS (#3501)
[R-package] Remove ability to install precompiled lib_lightgbm (fixes #3320) @jameslamb (#3360)
[python] Drop Python 3.5 support @StrikerRUS (#3395)

🚀 Efficiency Improvement

Optimization of row-wise histogram construction @shiyu1994 (#3522)
Add support to optimize for NDCG at a given truncation level @metpavel (#3425)
fix address alignment, required by cran @guolinke (#3415)

🐛 Bug Fixes

[ci] Use different PATH based on Rtools version @jameslamb (#3558)
[ci] fix CUDA CI builds @StrikerRUS (#3549)
fix constant hessian for huber objective @guolinke (#3545)
[R-package] [ci] Fix failures with R 3.6 and CMake (fixes #3469) @jameslamb (#3541)
[R-package] fix learning-to-rank tests on Solaris @jameslamb (#3534)
[R-package] fix MM_PREFETCH and MM_MALLOC checks in configure.ac @jameslamb (#3510)
avoid min_data and min_hessian are zeros at the same time @guolinke (#3492)
Fix add features @guolinke (#2754)
remove std::move @StrikerRUS (#3478)
[ci] [R-package] Fix memory leaks found by valgrind @jameslamb (#3443)
[R-package] Suppresses unknown pragma warnings during CRAN build @cctechwiz (#3460)
pin Ubuntu version in distroless docker file @StrikerRUS (#3449)
Move Tree destructor to header file @lcsdavid (#3417)
[R-package] miscellaneous changes to comply with CRAN requirements @jameslamb (#3338)
fix type casting warning @StrikerRUS (#3437)
[R-package] [ci] Make Windows CI fail if R CMD check fails @jameslamb (#3435)
[python] Use ctypes for parameters of DLL functions for Dataset @StrikerRUS (#3423)
Use ctypes to pass parameters (fixes #3398) @btrotta (#3419)
disable monotone constraint in objective functions with renew_tree_output @guolinke (#3368
[R-package] Fix incorrect num_iterations, early_stopping_round in saved models (fixes #2208, #2468) @jameslamb (#3368)
Improve performance of path smoothing @btrotta (#3396)
fix sparse multiclass local feature contributions and add test @imatiach-msft (#3382)
Auc mu weights @btrotta (#3349)
improve subfeature_bynode @guolinke (#3384)
Fix typo in ResetConfig @btrotta (#3392)
Avoid segment fault in ResetConfig for GBDT in prediction (fix #3317) @shiyu1994 (#3373)

📖 Documentation

[docs] simplify RTD config and use latest Sphinx @StrikerRUS (#3554)
Add note on LightGBM/OpenMP hanging on AWS Batch @cvsmith (#3553)
Fix #2898: Clearer warning message for user (2^max_depth > num_leaves). @AlbertoEAF (#3537)
better document for bin_construct_sample_cnt @guolinke (#3521)
[R-package] [docs] fix broken plots in pkgdown site (fixes #3276) @jameslamb (#3508)
[docs] added Data Science Bowl Comp Solution 2019 @nabokovas (#3503)
[docs] fix param docs @StrikerRUS (#3495)
[docs] update GitHub Actions badge @StrikerRUS (#3446)
[docs] Change doc link to monotone constraints report to HAL document @CharlesAuguste (#3410)
[R-package] add new copyright holder in DESCRIPTION @jameslamb (#3409)
[docs] Simplify the python installation instruction @guolinke (#3378)
[docs] remove unrelated entry from winning solutions list @StrikerRUS (#3370)
[python][examples] updated examples with multiple custom metrics @StrikerRUS (#3367)
[docs] update list of winning solutions in data science competitions @Juniper-23 (#3358)
[R-package] fix typo in R installation instructions @daviddalpiaz (#3350)

🧰 Maintenance

fix compilation warning @StrikerRUS (#3564)
fix warning @guolinke (#3563)
[R-package] fix install warning @jameslamb (#3552)
TST make sklearn integration test compatible with 0.24 @glemaitre (#3533)
move APPLE_OUTPUT_DYLIB option closer to the rest options @StrikerRUS (#3547)
[ci] simplify R CI scripts @jameslamb (#3535)
[ci] Make valgrind check stricter @jameslamb (#3536)
fix invalid read detected by valgrind @guolinke (#3526)
ignore files from local Dask work @jameslamb (#3527)
[ci] upgrade GitHub Actions third-party actions to newest versions @jameslamb (#3524)
[R-package] remove Makefile hack in install.libs.R @jameslamb (#3528)
[R-package] [ci] add correct path for mingw32-make in CI @jameslamb (#3523)
[ci] fix check-docs error with AMD support website (fixes #3529) @jameslamb (#3530)
[R-package] remove unused variables in configure.ac @jameslamb (#3509)
[R-package] Updated lgb.Booster.R with keyword arguments @Pey-crypto (#3496)
[ci] automate building CRAN package @jameslamb (#3497)
[tests][python] remove excess iterations @nabokovas (#3504)
[ci] Update MacOS version at Travis @nabokovas (#3505)
[ci] [python] reduce unnecessary data loading in tests @jameslamb (#3486)
setup CUDA CI job @StrikerRUS (#3424)
[ci] update SWIG installation on macOS @StrikerRUS (#3477)
[R-package] Improves logging in lint_r_code.R (fixes #3471) @sinAshish (#3472)
[R-package] Updated lgb.Predictor.R with keyword arguments @AnshuTrivedi (#3464)
[ci] ignore R CMD CHECK warnings on new R version @jameslamb (#3468)
[R-package] remove deprecation warnings on lgb.prepare() functions @jameslamb (#3444)
[R-package] Updated lgb.train.R with keyword arguments @iadi7ya (#3452)
[R-package] [ci] Add test on R package with sanitizers @jameslamb (#3439)
[R-package] add 'cleanup' script to handle left-behind Makevars @jameslamb (#3434)
[R-package] Update callback.R with keyword arguments @philip-khor (#3430)
[ci] rename R-package GitHub Actions workflow @StrikerRUS (#3429)
fix warnings @guolinke (#3399)
[python] fix dangerous default for eval_at in LGBMRanker @jameslamb (#3377)
[ci] removed unused environment variable CONDA_ENV @jameslamb (#3411)
[R-package] use keyword arguments in internal function calls @jameslamb (#3391)
[R-package] mark CMake option for building R package as private @StrikerRUS (#3397)
[ci] Use Ubuntu Focal image at Travis @StrikerRUS (#3393)
[ci] update Boost version @StrikerRUS (#3389)
[R-package] ignore temp files created by R on Mac @jameslamb (#3388)
[python] remove unused variable @jameslamb (#3376)
[R-package] remove unnecessary comments @jameslamb (#3356)
[ci] host some artifacts needed by R Windows CI jobs @jameslamb (#3359)
[ci] remove Azure checks from R CI @jameslamb (#3355)
[ci] add an allgood job for easy [required] builds @graingert (#3351)
bump version @guolinke (#3344)

Open source →

3.0.01 Sept 2020Deprecated

[R-package] deprecate lgb.prepare() and lgb.prepare2() @jameslamb

Changes

💡 New Features

[python] add return_cvbooster flag to cv func and publish _CVBooster (#283,#2105,#1445) @momijiame (#3204)
[R-package] make package installable with CRAN toolchain (fixes #2960) @jameslamb (#3188)
feat: Change locking strategy of Booster, allow for share and unique locks @JoanFM (#2760)
feature importance type in saved model file @guolinke (#3220)
[R-package] Interface for interaction constraints @btrotta (#3136)
adding sparse support to TreeSHAP in lightgbm @imatiach-msft (#3000)
Adding static library option @dpayne (#3171)
Interaction constraints @btrotta (#3126)
[R-package] Add support for R 4.0 (fixes #3064, fixes #3024) @jameslamb (#3065)
[python][scikit-learn] add new attribute for used number of features @a-wozniakowski (#3129)
redirect log to python console @guolinke (#3090)
Path smoothing @btrotta (#2950)
[SWIG][mmlspark] allow allocating more than int max array @imatiach-msft (#2859)
Support UTF-8 characters in feature name again @henry0312 (#2976)
[python] Re-enable scikit-learn 0.22+ support @StrikerRUS (#2949)
Pr3 monotone constraints splits penalization @CharlesAuguste (#2939)
[R-package] adding routine registration in R package (fixes #1910) @jameslamb (#2911)
[R-package] Use Rprintf for logging in the R package (fixes #1440, fixes #1909) @jameslamb (#2901)
Improving monotone constraints ("Fast" method; linked to #2305, #2717) @CharlesAuguste (#2770)
[python] handle RandomState object in Scikit-learn Api @lpfann (#2904)
Debug flags @guolinke (#2825)
added feature infos to JSON dump @StrikerRUS (#2660)
Add capability to get possible max and min values for a model @JoanFM (#2737)
Extremely randomized trees @btrotta (#2671)
[python] add property: feature_name_ in lgb sklearn api @zhangqibot (#2740)
Implementation of XE_NDCG_MART for the ranking task @sbruch (#2620)
[python] Output model to a pandas DataFrame @pford221 (#2592)
option to disable the shape checking in prediction. @guolinke (#2669)
added feature importance to JSON dump @StrikerRUS (#2656)
[python] allow to specify orientation of a tree @StrikerRUS (#2605)
auc-mu @btrotta (#2567)
[python] Allow python sklearn interface's fit() to pass init_model to train() @aaiyer (#2447)
Add more debug logging to show data load progress. @ashok-ponnuswami-msft (#2587)

🔨 Breaking

[Python] add start_iteration to python predict interface (#3058) @shiyu1994 (#3272)
[R-package] refactor and improvements to lgb.convert() functions (fixes #2678, #2681) @jameslamb (#3269)
[R-package] deprecate lgb.prepare() and lgb.prepare2() @jameslamb (#3095)
[R-package] Add version floor of R 3.5 (fixes #3212) @jameslamb (#3216)
refactor LGBM_DatasetGetFeatureNames @StrikerRUS (#3022)
Fix SWIG methods that return char** @AlbertoEAF (#2850)
Code refactoring for ranking objective & Faster ndcg_xendcg @guolinke (#2801)
decouple bagging with num_threads @guolinke (#2804)
remove init-score parameter @guolinke (#2776)
[python] [R-package] refine the parameters for Dataset @guolinke (#2594)
Support both row-wise and col-wise multi-threading @guolinke (#2699)
[ci] indicate support only for the last 3 macOS versions in wheel name @StrikerRUS (#2691)
removed OpenMP ugly fix for Mojave @StrikerRUS (#2674)
[python] specify the last supported version of scikit-learn @StrikerRUS (#2637)

🚀 Efficiency Improvement

Feat/optimize single prediction @AlbertoEAF (#2992)
Optimize the computation of the cross-entropy ranking loss @sbruch (#3080)
Speed-up "Split" and some code refactorings @guolinke (#2883)
speed up FindBestThresholdFromHistogram @guolinke (#2867)
speed up for const hessian @guolinke (#2857)
reduce the overhead of OMP_NUM_THREADS in training @guolinke (#2852)
speed up multi-val bin subset for bagging @guolinke (#2827)
speed up sub-feature in row-wise parallelism @guolinke (#2764)
slightly reduce the cost of multi-val bin construct. @guolinke (#2728)
more efficient sampling k from n @guolinke (#2693)
support most frequent bin @guolinke (#2689)
prefetch hint (1.3x speed-up) @guolinke (#2677)

🐛 Bug Fixes

[R] Fix 32-bit build @guolinke (#3307)
fix zero bin in categorical split @guolinke (#3305)
[R-package] DESCRIPTION changes to address CRAN feedback @jameslamb (#3298)
create buffer for gradients and hessians with goss and customized objective (fixes #3243) @shiyu1994 (#3263)
update multi-class objective (softmax) @guolinke (#3256)
Fast single row predict API v2 @AlbertoEAF (#3268)
[R-package] fix early_stopping_round <= 0 @jameslamb (#3259)
fix bug in CEGB when reset training data or config @guolinke (#3246)
fix possible problem in getting number of columns from libsvm file. @guolinke (#3242)
set num_threads of share_state (#3151) @shiyu1994 (#3238)
Upcast index to size_t in Refit @jtilly (#3228)
[python][scikit-learn] Fixes a bug that prevented using multiple eval_metrics in LGBMClassifier @gramirezespinoza (#3222)
[python] fix early_stopping_round = 0 @guolinke (#3211)
Fix integer overflow in auc_mu (fixes #3201) @btrotta (#3209)
Store the true split gain (without subtracting min_split_gain) in tree models (fix Issue #3054) @shiyu1994 (#3196)
Fix bug with interaction constraints @btrotta (#3189)
[R-package] [ci] update to R 4.0.2 for Windows CI jobs (fixes #3191) @jameslamb (#3193)
fix str2double for leaf_weights @guolinke (#3148)
fix error C3861: '_BitScanReverse': identifier not found @StrikerRUS (#3141)
[R-package] fix best_score using custom evaluation (fixes #3112) @jameslamb (#3117)
[R-package] Turn matrix to storage mode "double" @mayer79 (#3140)
memory corruption fix for distributed data parallel version before SyncUpGlobalBestSplit @imatiach-msft (#3110)
[R-package] fix issue where early stopping thinks higher MAPE is desirable (fixes #3099) @jameslamb (#3101)
fix a bug when we set the default score @guanqun (#3114)
fix MSVC warning about control paths (fixes #3067) @jameslamb (#3068)
Fixed machine list parsing: s/find_first_of/find @odimka (#3108)
fix refactoring bug in voting parallel @guolinke (#3089)
fix goss with constant hessian @guolinke (#3077)
[docs] update link to GitHub anchor conventions @jameslamb (#3085)
fix goss bug @guolinke (#3063)
[R-package] add conda dir for LIBR_CORE_LIBRARY (fixes #3045) @jameslamb (#3046)
[R-package] CMake fixes to support MSVC @jameslamb (#2963)
Fix loss computation in rank cross-entropy objective @sbruch (#3031)
[R-package] fixed best_iter and best_score when training data is passed (fixes #2295, #2525) @jameslamb (#2961)
[R-package] fix R examples and lgb.plot.interpretation() @jameslamb (#3002)
Revert "Fix Booster read/write locale dependency (#2891)" @henry0312 (#2980)
[SWIG][mmlspark] fix seg fault in LGBM_BoosterGetEvalNamesSWIG @imatiach-msft (#2958)
fix inf in json model dump @StrikerRUS (#2940)
[R-package] fixed evaluation on valids in lightgbm() (fixes #2915) @jameslamb (#2916)
Fix IsZero in tree.h @AlbertoEAF (#2932)
[R-package] fixed handling of multiple evaluation metrics (fixes #2913) @jameslamb (#2914)
Fix Booster read/write locale dependency @AlbertoEAF (#2891)
[python] Fix continued train by reusing the same dataset @guolinke (#2906)
[python] fix the bug when use different params with reference @guolinke (#2907)
fix ResetConfig in FeatureHistogram @guolinke (#2882)
fixed cpplint errors and VS project files @StrikerRUS (#2873)
fix possible bug related num_threads @guolinke (#2876)
[python] save all param values into model file @StrikerRUS (#2589)
shrinkage to internal values @guolinke (#2853)
fix bug in parallel learning @guolinke (#2851)
don't save num_thread as possible @guolinke (#2839)
fix bug for multi-val-bin construction @guolinke (#2841)
fix forced split @guolinke (#2838)
avoid most_freq_bin to be 0 in categorical features @guolinke (#2824)
fix index and remove unused includes @StrikerRUS (#2829)
support larger element size for multi-val bin @guolinke (#2817)
fix random threshold for categorical features @guolinke (#2802)
fix bug when nan bin is most freq bin @guolinke (#2811)
Fix SingleRowPredictor::IsPredictorEqual comparison (invert) @AlbertoEAF (#2799)
[R-package] Fixed R implementation of upper_bound() and lower_bound() for lgb.Booster @jameslamb (#2785)
[R-package] fixed R Dataset aliases @StrikerRUS (#2775)
fix max_depth in CEGB @guolinke (#2751)
fix subset bug @guolinke (#2748)
Config static initialization @jcipar (#2743)
Preventing denormal leaf values @jpkoponen (#2724)
[python][R-package][docs] fix support of XE_NDCG_MART obj in language wrappers and docs @StrikerRUS (#2726)
add is_sparse back @guolinke (#2729)
fix #2696 @sh1ng (#2700)
[R-package] fixed sorting issues in lgb.cv() when using a model with observation weights (fixes #2572) @jameslamb (#2573)
[python] fix trees_to_dataframe and enhance test @StrikerRUS (#2690)
[python] [R-package] Use the same address when updated label/weight/query @guolinke (#2662)
fix predict with header @guolinke (#2643)
[python][sklearn] do not modify args in fit function and minor code cleanup @StrikerRUS (#2619)
[python] Variable Typo: redictor -> predictor @duckladydinh (#2622)
LightGBM would hang on MPI run if only some nodes have a fatal error. @ashok-ponnuswami-msft (#2600)

📖 Documentation

[R-package] Add R logo (fixes #3331, #3332) @jameslamb (#3336)
[docs][python][sklearn] remove excess fit arguments from docstrings @StrikerRUS (#3330)
[docs] added logo to docs @StrikerRUS (#3327)
Added winning solution using LightGBM @julioasotodv (#3314)
[R-package] Add docs on building and using precompiled binaries for the R package @jameslamb (#3285)
[docs] Fix repetition of tree_method hyper-parameter in xgboost_hist @Shihab-Shahriar (#3296)
[doc] better doc for keep_training_booster @guolinke (#3275)
[docs] improve params docs @StrikerRUS (#3252)
typo fix @guanqun (#3174)
[docs] Improve some phrasing in the installation guide @Lewington-pitsos (#3214)
[docs] document option to build a static library @StrikerRUS (#3190)
[docs][scikit-learn] removed duplicated docstrings @StrikerRUS (#3164)
[ci][docs] fix broken links @StrikerRUS (#3176)
[R-package] [docs] fix warnings in pkgdown site building @jameslamb (#3086)
[R-package] [docs] Removed outdated language about the R package @jameslamb (#3070)
[docs] document one more workaround for CMake and MinGW build and fix typos @StrikerRUS (#3081)
[docs] Document cmake+MinGW (fixes #3060) @Laurae2 (#3078)
[docs] updated docs about output values @StrikerRUS (#3037)
[docs] updated bug report template @jameslamb (#3032)
[R-package] Remove lgbdl from docs until fix @Laurae2 (#3035)
[R-package] [docs] remove unnecessary build in test coverage @jameslamb (#3004)
[docs] update link to Julia wrapper @StrikerRUS (#3021)
[docs] updated core team list @StrikerRUS (#3001)
[R-package] [docs] Simplified examples to cut example run time (fixes #2988) @jameslamb (#2989)
[docs] Add LightGBM Tuner by Optuna links to README.md @Crissman (#2893)
[docs] add link to blog post about Optuna to Parameters-Tuning.rst @Crissman (#2896)
[docs] update latest benchmark results @guolinke (#2887)
[R-package] [docs] Added documentation on lgb.dl() and data.table version (fixes #2715) @jameslamb (#2846)
fixed cpplint issues and updated docs @StrikerRUS (#2830)
[docs] Added subsections into param list @StrikerRUS (#2779)
Better documentation for Contributing @guolinke (#2781)
[docs] fixed metric_freq param description @StrikerRUS (#2780)
[docs] removed mentions of sparse_threshold @StrikerRUS (#2758)
[R-package] clarified error messages and documentation for lgb.get.eval.result() @jameslamb (#2686)
[R-package][docs] made roxygen2 tags explicit and cleaned up documentation @jameslamb (#2688)
[R-package] Added instructions for generating R test coverage @jameslamb (#2664)
[R-package] [docs] Added reference to unofficial R extensions (fixes #2640) @jameslamb (#2670)
warning for init_score in save_binary @guolinke (#2649)
[docs] provide link to m2cgen from convert_model_language param description @StrikerRUS (#2591)
[docs] added link to cuML in external repos section of README @StrikerRUS (#2634)
[docs] added search key words for artifacts @StrikerRUS (#2631)
[docs] enhanced description of cat features param @StrikerRUS (#2627)
[docs] updated records of kaggle competitions @jameslamb (#2621)
[docs] added link to kubeflow fairing and enhanced parallel guide @StrikerRUS (#2602)

🧰 Maintenance

[ci] fix R CMD check issue 'unable to verify current time' @jameslamb (#3341)
[R-package] [ci] Reduce manual effort for version updates @jameslamb (#3335)
[R-package] update roles in DESCRIPTION @jameslamb (#3333)
Add Logo to readme @guolinke (#3322)
[ci] bump Xcode version at Travis @StrikerRUS (#3323)
[ci][docs] update Doxygen link in docs @StrikerRUS (#3324)
[R-package] remove blank lines and not-really-comments from .Rbuildignore @jameslamb (#3318)
[ci][docs] explicitly recuire fresh versions of RTD stuff @StrikerRUS (#3315)
[ci] Test 32-bit builds for R package @jameslamb (#3311)
fix typo @StrikerRUS (#3309)
[ci] fix flaky R CMD check test about library size @jameslamb (#3308)
fix vc project @guolinke (#3304)
simplify start_iteration param for predict in Python and some code cleanup for start_iteration @StrikerRUS (#3288)
[python] try to use bundled distutils to setuptools during setup @StrikerRUS (#3294)
[ci][python] fix sklearn FutureWarning about positional args @StrikerRUS (#3295)
[ci][docs] fix current master failures for docs test @StrikerRUS (#3297)
[R-package] suppress warning about empty 'compute' directory and fix Rtools installation @jameslamb (#3277)
bump version for development @guolinke (#3281)
[CI] fix R's installation @guolinke (#3279)
[R-package] move all examples to dontrun() to fix R CMD CHECK notes @jameslamb (#3270)
[R-package] add some R build files to gitignore @jameslamb (#3271)
[tests][python][scikit-learn] New unit tests and maintenance @a-wozniakowski (#3253)
[ci] run Travis and Azure Pipelines only for master branch @StrikerRUS (#3265)
[R-package] allow R to pick between -fPIC and -fpic for CRAN package @jameslamb (#3261)
[TYPO] DatasetLoader::ConstructFromSampleData @lcsdavid (#3258)
remove unnecessary semicolon @jameslamb (#3260)
[ci] partly remove macOS temp CI fix @StrikerRUS (#3251)
[R-package] remove duplicated test @jameslamb (#3250)
update gitignore to ignore files created by clion @zhengruifeng (#3248)
[R-package] Add tests on lgb.check.eval, lgb.unloader, and lgb.encode.char @jameslamb (#3235)
[ci] remove unnecessary R_CHECK_FORCE_SUGGESTS in CI scripts @jameslamb (#3240)
typo fix @guolinke (#3239)
[SWIG] removed commented code @StrikerRUS (#3233)
[R-package] add test on importance types @jameslamb (#3231)
[R-package] factor out {ggplot2} @jameslamb (#3224)
add rules for tests/ in CODEOWNERS @jameslamb (#3226)
[ci] bump R 4 version @StrikerRUS (#3225)
[R-package] remove xlen_t in custom R-to-C++ interface @jameslamb (#3223)
[R-package] remove unused Suggests dependencies @jameslamb (#3217)
Remove extra semicolons @AIshb (#3215)
[ci] [R-package] catch builds that have not updated docs @jameslamb (#3205)
[ci] bump gcc version for macOS @StrikerRUS (#3208)
Allow the minimal feature to 1 in column sampling @guolinke (#3197)
[R-package] [ci] Fix MiKTeX downloads (fixes #3198) @jameslamb (#3199)
[python][scikit-learn] new stacking tests and make number of features a property @a-wozniakowski (#3173)
[R-package] fix R CMD check NOTE about leftover files @jameslamb (#3181)
[ci][docs] added GitHub Actions badge and simplified condition in config @StrikerRUS (#3179)
[R-package] [ci] cut nrounds in unit tests @jameslamb (#3169)
[ci] update Boost version @StrikerRUS (#3175)
[ci] Move R Windows CI to GitHub Actions @jameslamb (#3168)
[ci] avoid VS warning for R builds @StrikerRUS (#3162)
[ci][docs] temporarily pin Sphinx version @StrikerRUS (#3157)
Revert "re-order includes (fixes #3132) (#3133)" @StrikerRUS (#3153)
[ci] make MiKTeX downloads more reliable @jameslamb (#3124)
[ci] use GitHub Actions for R CI jobs (fixes #2353) @jameslamb (#3119)
re-order includes (fixes #3132) @jameslamb (#3133)
[ci] remove unused environment variable in CI setups @jameslamb (#3125)
[R-package] move R source files into R-package, reduce duplication in build_r.R @jameslamb (#3087)
[ci] fix add-apt-repository warning @jameslamb (#3104)
[R-package] characterize all cmake messages @jameslamb (#3105)
[R-package] [docs] replace build_r_site.R with pkgdown::build_site() @jameslamb (#3098)
[ci] bump XCode version at Travis @StrikerRUS (#3097)
[ci] avoid duplicate AppVeyor builds @jameslamb (#3096)
[R-package] [ci] Fix CI timeouts for Mac builds on Travis (fixes #3091) @jameslamb (#3092)
[R-package] fix warnings in tests @jameslamb (#3069)
[R-package] [docs] remove devtools dependency for docs builds (fixes #3036) @jameslamb (#3072)
[R-package] speed up installation with Visual Studio @jameslamb (#2965)
Update CODEOWNERS rule about CMakeLists.txt @jameslamb (#3079)
removed deprecated code @StrikerRUS (#3073)
[R-package] added tests on LGBM_BoosterResetTrainingData_R @jameslamb (#3020)
[python-package] Use set for OS check @jameslamb (#3059)
typo fix @guanqun (#3055)
[ci] fix flaky test @StrikerRUS (#3056)
[docs] update ROCm link in docs @StrikerRUS (#3050)
[R-package] [ci] Add Windows CI for R package (fixes #2335) @jameslamb (#2936)
[python][tests] unused and missing imports @jameslamb (#3023)
[R-package] added tests on LGBM_BoosterRollbackOneIter_R @jameslamb (#3006)
[R-package] Added tests on LGBM_GetLastError_R @jameslamb (#3005)
[R-package] Added tests on creating a Booster from a Dataset @jameslamb (#3007)
[ci] minor CI scripts update @StrikerRUS (#3019)
[R-package] [ci] added echoing of R CMD check logs to CI @jameslamb (#3009)
[ci][docs] Fix RTD builds @StrikerRUS (#3015)
[ci][docs] be compatible with Sphinx 3 @StrikerRUS (#3013)
[ci] Changed use of strcpy to snprintf (fixes #1990) @jameslamb (#2973)
[R-package] Updated package metadata in DESCRIPTION @jameslamb (#2993)
[R-package] Removed unused constant in R_object_helper.h @jameslamb (#2994)
Update CODEOWNERS @StrikerRUS (#2996)
more cpp lints @guolinke (#2985)
[python][ci] start to support Python 3.8 @StrikerRUS (#2713)
[ci] fixed r-lintr version constraint @StrikerRUS (#2990)
[R-package] Added unit tests on creating Booster from file or string @jameslamb (#2945)
fix cpp lint in json11 @guolinke (#2975)
[ci][docs] downgrade breathe @StrikerRUS (#2982)
[docs] update URL in docs @StrikerRUS (#2978)
[ci][docs] downdrage sphinx and fix LaTeX error in R-package tests @StrikerRUS (#2977)
fixed cpplint errors about string& members @jameslamb (#2929)
fixed cpplint errors @StrikerRUS (#2971)
[ci] upgrade to R 3.6.3 in CI @jameslamb (#2969)
replace built-in assert with own CHECK macro @StrikerRUS (#2938)
Cleanup MissingType enum constants @AlbertoEAF (#2931)
[ci] reduce duplication in Python Windows CI @jameslamb (#2962)
[R-package] [ci] Add option to skip installation in build_r.R @jameslamb (#2957)
[ci][docs] fixed broken link @StrikerRUS (#2956)
[ci] changed CRAN mirror to fix failing installs @jameslamb (#2954)
[R-package] [ci] added check on number of R CMD CHECK notes @jameslamb (#2942)
changed sprintf uses to snprintf @jameslamb (#2920)
[R-package] fixed some minor issues with testing on Windows @jameslamb (#2908)
[R-package] added test on uncovered line of lgb.plot.importance() @jameslamb (#2903)
[ci] fixed cpplint errors about namespace using-directives @jameslamb (#2927)
[R-package] fixed NOTE about unrecognized global variable @jameslamb (#2928)
[ci] fix VS project files @StrikerRUS (#2924)
[R-package] [ci] added more linters @jameslamb (#2803)
[R-package] removed duplicated code figuring out build_dir in install.libs.R @jameslamb (#2917)
[R-package] added command to remove build/ dir in install.libs.R @jameslamb (#2909)
fix release-drafter.yml @guolinke (#2895)
[R-package] removed unnecessary flag in tests @jameslamb (#2910)
fixed cpplint errors and disable warning only for VS @StrikerRUS (#2888)
[R-package] cleaned up formatting in R C/C++ files @jameslamb (#2844)
[R-package] Introduce R-specific control of lib_lightgbm @jameslamb (#2837)
add more bots @guolinke (#2843)
[ci] fixed cpplint warnings about braces @jameslamb (#2869)
use specific checks in auto config @StrikerRUS (#2864)
fix warnings in debug mode about that not all control paths return a value @StrikerRUS (#2866)
fixed cpplint issues @StrikerRUS (#2863)
[R-package] [ci] added tests on early_stopping @jameslamb (#2848)
[docs] update link to MS MPI @StrikerRUS (#2861)
[R-package] removed unused imports from R-specific lib_lightgbm components @jameslamb (#2845)
[docs] Fix description according to markdownlint @daikikatsuragawa (#2865)
[ci] fix R tests for macOS on Azure Pipelines @StrikerRUS (#2856)
[R-package] added test on training with sparse features @jameslamb (#2847)
introduced specific CHECKs @StrikerRUS (#2849)
update lockbot @StrikerRUS (#2842)
fixed cpplint error about namespace using-directives @StrikerRUS (#2836)
Update BUG_REPORT.md @guolinke (#2833)
Add lock bot @guolinke (#2815)
No LinkTimeCodeGeneration in VS @guolinke (#2812)
[ci] bump Azure image versions @StrikerRUS (#2822)
[tests][python] fixed pandas deprecation warning in tests @StrikerRUS (#2819)
replace std::runtime_error with Log::Fatal @StrikerRUS (#2816)
Make timer thread-safe @guolinke (#2800)
fixed cpplint issues @StrikerRUS (#2809)
fix clang warning for GPU @guolinke (#2807)
[R-package] [docker] Added ability to build LightGBM in an R container with different R versions @jameslamb (#2787)
[docs] fixed broken links @StrikerRUS (#2795)
some code refactoring @guolinke (#2769)
fixed cpplint issues @StrikerRUS (#2771)
[python] in sklearn wrapper pass cat features to Dataset constructor @StrikerRUS (#2763)
fixed cpplint issues @StrikerRUS (#2756)
Refactoring monotone constraints (linked to #2305) @CharlesAuguste (#2717)
various minor style, docs and cpplint improvements @StrikerRUS (#2747)
[ci] avoid Appveyor failures @StrikerRUS (#2753)
warning for testing col-wise and row-wise @guolinke (#2727)
no omp_set_nested @guolinke (#2734)
[python][tests] fixed typo @StrikerRUS (#2732)
removed AVX2 from VS config and reset PlatformToolset values back @StrikerRUS (#2731)
[ci] swap compilers back for CI services @StrikerRUS (#2730)
[python][R-package] removed duplicated code from language wrappers @StrikerRUS (#2606)
[docs] fix RTD builds due to conda's problems @StrikerRUS (#2725)
[ci] use raw strings in NuGet helper script @StrikerRUS (#2710)
[R-package] moved parameter validations up earlier in function calls @jameslamb (#2663)
[R-package] added test that Dataset$setinfo() converts 'group' input to integer @jameslamb (#2687)
[R-package] added tests on lgb.plot.importance and clarified documentation @jameslamb (#2692)
check _mm_prefetch in cmake @guolinke (#2694)
[R-package] added tests on lgb.prepare function @jameslamb (#2685)
[R-package] [ci] removed TODOs in code @jameslamb (#2667)
[R-package] simplified lgb.check.eval() @jameslamb (#2654)
[R-package] removed function lgb.check.params @jameslamb (#2652)
[R-package] fixed typo for variable valid_contain_train @jameslamb (#2653)
[ci] bump XCode version for Travis @StrikerRUS (#2646)
fixed some cpplint issues @StrikerRUS (#2635)
[R-package][ci] added CI stage for R package (fixes #2335, fixes #2569) @jameslamb (#2530)
[docs] fixed broken link in docs @StrikerRUS (#2623)
[python][R-package] warn users about untransformed values in case of custom obj @StrikerRUS (#2611)
[docs] fixed broken link in docs @StrikerRUS (#2601)
fix compile warning for HDFS version @StrikerRUS (#2586)
bump version for development @StrikerRUS (#2599)

Open source →

3.0.0rc17 Aug 2020pre-releaseDeprecated

[R-package] deprecate lgb.prepare() and lgb.prepare2() @jameslamb

Changes

💡 New Features

[python] add return_cvbooster flag to cv func and publish _CVBooster (#283,#2105,#1445) @momijiame (#3204)
[R-package] make package installable with CRAN toolchain (fixes #2960) @jameslamb (#3188)
feat: Change locking strategy of Booster, allow for share and unique locks @JoanFM (#2760)
feature importance type in saved model file @guolinke (#3220)
[R-package] Interface for interaction constraints @btrotta (#3136)
adding sparse support to TreeSHAP in lightgbm @imatiach-msft (#3000)
Adding static library option @dpayne (#3171)
Interaction constraints @btrotta (#3126)
[R-package] Add support for R 4.0 (fixes #3064, fixes #3024) @jameslamb (#3065)
[python][scikit-learn] add new attribute for used number of features @a-wozniakowski (#3129)
redirect log to python console @guolinke (#3090)
Path smoothing @btrotta (#2950)
[SWIG][mmlspark] allow allocating more than int max array @imatiach-msft (#2859)
Support UTF-8 characters in feature name again @henry0312 (#2976)
[python] Re-enable scikit-learn 0.22+ support @StrikerRUS (#2949)
Pr3 monotone constraints splits penalization @CharlesAuguste (#2939)
[R-package] adding routine registration in R package (fixes #1910) @jameslamb (#2911)
[R-package] Use Rprintf for logging in the R package (fixes #1440, fixes #1909) @jameslamb (#2901)
Improving monotone constraints ("Fast" method; linked to #2305, #2717) @CharlesAuguste (#2770)
[python] handle RandomState object in Scikit-learn Api @lpfann (#2904)
Debug flags @guolinke (#2825)
added feature infos to JSON dump @StrikerRUS (#2660)
Add capability to get possible max and min values for a model @JoanFM (#2737)
Extremely randomized trees @btrotta (#2671)
[python] add property: feature_name_ in lgb sklearn api @zhangqibot (#2740)
Implementation of XE_NDCG_MART for the ranking task @sbruch (#2620)
[python] Output model to a pandas DataFrame @pford221 (#2592)
option to disable the shape checking in prediction. @guolinke (#2669)
added feature importance to JSON dump @StrikerRUS (#2656)
[python] allow to specify orientation of a tree @StrikerRUS (#2605)
auc-mu @btrotta (#2567)
[python] Allow python sklearn interface's fit() to pass init_model to train() @aaiyer (#2447)
Add more debug logging to show data load progress. @ashok-ponnuswami-msft (#2587)

🔨 Breaking

[Python] add start_iteration to python predict interface (#3058) @shiyu1994 (#3272)
[R-package] refactor and improvements to lgb.convert() functions (fixes #2678, #2681) @jameslamb (#3269)
[R-package] deprecate lgb.prepare() and lgb.prepare2() @jameslamb (#3095)
[R-package] Add version floor of R 3.5 (fixes #3212) @jameslamb (#3216)
refactor LGBM_DatasetGetFeatureNames @StrikerRUS (#3022)
Fix SWIG methods that return char** @AlbertoEAF (#2850)
Code refactoring for ranking objective & Faster ndcg_xendcg @guolinke (#2801)
decouple bagging with num_threads @guolinke (#2804)
remove init-score parameter @guolinke (#2776)
[python] [R-package] refine the parameters for Dataset @guolinke (#2594)
Support both row-wise and col-wise multi-threading @guolinke (#2699)
[ci] indicate support only for the last 3 macOS versions in wheel name @StrikerRUS (#2691)
removed OpenMP ugly fix for Mojave @StrikerRUS (#2674)
[python] specify the last supported version of scikit-learn @StrikerRUS (#2637)

🚀 Efficiency Improvement

Feat/optimize single prediction @AlbertoEAF (#2992)
Optimize the computation of the cross-entropy ranking loss @sbruch (#3080)
Speed-up "Split" and some code refactorings @guolinke (#2883)
speed up FindBestThresholdFromHistogram @guolinke (#2867)
speed up for const hessian @guolinke (#2857)
reduce the overhead of OMP_NUM_THREADS in training @guolinke (#2852)
speed up multi-val bin subset for bagging @guolinke (#2827)
speed up sub-feature in row-wise parallelism @guolinke (#2764)
slightly reduce the cost of multi-val bin construct. @guolinke (#2728)
more efficient sampling k from n @guolinke (#2693)
support most frequent bin @guolinke (#2689)
prefetch hint (1.3x speed-up) @guolinke (#2677)

🐛 Bug Fixes

create buffer for gradients and hessians with goss and customized objective (fixes #3243) @shiyu1994 (#3263)
update multi-class objective (softmax) @guolinke (#3256)
Fast single row predict API v2 @AlbertoEAF (#3268)
[R-package] fix early_stopping_round <= 0 @jameslamb (#3259)
fix bug in CEGB when reset training data or config @guolinke (#3246)
fix possible problem in getting number of columns from libsvm file. @guolinke (#3242)
set num_threads of share_state (#3151) @shiyu1994 (#3238)
Upcast index to size_t in Refit @jtilly (#3228)
[python][scikit-learn] Fixes a bug that prevented using multiple eval_metrics in LGBMClassifier @gramirezespinoza (#3222)
[python] fix early_stopping_round = 0 @guolinke (#3211)
Fix integer overflow in auc_mu (fixes #3201) @btrotta (#3209)
Store the true split gain (without subtracting min_split_gain) in tree models (fix Issue #3054) @shiyu1994 (#3196)
Fix bug with interaction constraints @btrotta (#3189)
[R-package] [ci] update to R 4.0.2 for Windows CI jobs (fixes #3191) @jameslamb (#3193)
fix str2double for leaf_weights @guolinke (#3148)
fix error C3861: '_BitScanReverse': identifier not found @StrikerRUS (#3141)
[R-package] fix best_score using custom evaluation (fixes #3112) @jameslamb (#3117)
[R-package] Turn matrix to storage mode "double" @mayer79 (#3140)
memory corruption fix for distributed data parallel version before SyncUpGlobalBestSplit @imatiach-msft (#3110)
[R-package] fix issue where early stopping thinks higher MAPE is desirable (fixes #3099) @jameslamb (#3101)
fix a bug when we set the default score @guanqun (#3114)
fix MSVC warning about control paths (fixes #3067) @jameslamb (#3068)
Fixed machine list parsing: s/find_first_of/find @odimka (#3108)
fix refactoring bug in voting parallel @guolinke (#3089)
fix goss with constant hessian @guolinke (#3077)
[docs] update link to GitHub anchor conventions @jameslamb (#3085)
fix goss bug @guolinke (#3063)
[R-package] add conda dir for LIBR_CORE_LIBRARY (fixes #3045) @jameslamb (#3046)
[R-package] CMake fixes to support MSVC @jameslamb (#2963)
Fix loss computation in rank cross-entropy objective @sbruch (#3031)
[R-package] fixed best_iter and best_score when training data is passed (fixes #2295, #2525) @jameslamb (#2961)
[R-package] fix R examples and lgb.plot.interpretation() @jameslamb (#3002)
Revert "Fix Booster read/write locale dependency (#2891)" @henry0312 (#2980)
[SWIG][mmlspark] fix seg fault in LGBM_BoosterGetEvalNamesSWIG @imatiach-msft (#2958)
fix inf in json model dump @StrikerRUS (#2940)
[R-package] fixed evaluation on valids in lightgbm() (fixes #2915) @jameslamb (#2916)
Fix IsZero in tree.h @AlbertoEAF (#2932)
[R-package] fixed handling of multiple evaluation metrics (fixes #2913) @jameslamb (#2914)
Fix Booster read/write locale dependency @AlbertoEAF (#2891)
[python] Fix continued train by reusing the same dataset @guolinke (#2906)
[python] fix the bug when use different params with reference @guolinke (#2907)
fix ResetConfig in FeatureHistogram @guolinke (#2882)
fixed cpplint errors and VS project files @StrikerRUS (#2873)
fix possible bug related num_threads @guolinke (#2876)
[python] save all param values into model file @StrikerRUS (#2589)
shrinkage to internal values @guolinke (#2853)
fix bug in parallel learning @guolinke (#2851)
don't save num_thread as possible @guolinke (#2839)
fix bug for multi-val-bin construction @guolinke (#2841)
fix forced split @guolinke (#2838)
avoid most_freq_bin to be 0 in categorical features @guolinke (#2824)
fix index and remove unused includes @StrikerRUS (#2829)
support larger element size for multi-val bin @guolinke (#2817)
fix random threshold for categorical features @guolinke (#2802)
fix bug when nan bin is most freq bin @guolinke (#2811)
Fix SingleRowPredictor::IsPredictorEqual comparison (invert) @AlbertoEAF (#2799)
[R-package] Fixed R implementation of upper_bound() and lower_bound() for lgb.Booster @jameslamb (#2785)
[R-package] fixed R Dataset aliases @StrikerRUS (#2775)
fix max_depth in CEGB @guolinke (#2751)
fix subset bug @guolinke (#2748)
Config static initialization @jcipar (#2743)
Preventing denormal leaf values @jpkoponen (#2724)
[python][R-package][docs] fix support of XE_NDCG_MART obj in language wrappers and docs @StrikerRUS (#2726)
add is_sparse back @guolinke (#2729)
fix #2696 @sh1ng (#2700)
[R-package] fixed sorting issues in lgb.cv() when using a model with observation weights (fixes #2572) @jameslamb (#2573)
[python] fix trees_to_dataframe and enhance test @StrikerRUS (#2690)
[python] [R-package] Use the same address when updated label/weight/query @guolinke (#2662)
fix predict with header @guolinke (#2643)
[python][sklearn] do not modify args in fit function and minor code cleanup @StrikerRUS (#2619)
[python] Variable Typo: redictor -> predictor @duckladydinh (#2622)
LightGBM would hang on MPI run if only some nodes have a fatal error. @ashok-ponnuswami-msft (#2600)

📖 Documentation

[doc] better doc for keep_training_booster @guolinke (#3275)
[docs] improve params docs @StrikerRUS (#3252)
typo fix @guanqun (#3174)
[docs] Improve some phrasing in the installation guide @Lewington-pitsos (#3214)
[docs] document option to build a static library @StrikerRUS (#3190)
[docs][scikit-learn] removed duplicated docstrings @StrikerRUS (#3164)
[ci][docs] fix broken links @StrikerRUS (#3176)
[R-package] [docs] fix warnings in pkgdown site building @jameslamb (#3086)
[R-package] [docs] Removed outdated language about the R package @jameslamb (#3070)
[docs] document one more workaround for CMake and MinGW build and fix typos @StrikerRUS (#3081)
[docs] Document cmake+MinGW (fixes #3060) @Laurae2 (#3078)
[docs] updated docs about output values @StrikerRUS (#3037)
[docs] updated bug report template @jameslamb (#3032)
[R-package] Remove lgbdl from docs until fix @Laurae2 (#3035)
[R-package] [docs] remove unnecessary build in test coverage @jameslamb (#3004)
[docs] update link to Julia wrapper @StrikerRUS (#3021)
[docs] updated core team list @StrikerRUS (#3001)
[R-package] [docs] Simplified examples to cut example run time (fixes #2988) @jameslamb (#2989)
[docs] Add LightGBM Tuner by Optuna links to README.md @Crissman (#2893)
[docs] add link to blog post about Optuna to Parameters-Tuning.rst @Crissman (#2896)
[docs] update latest benchmark results @guolinke (#2887)
[R-package] [docs] Added documentation on lgb.dl() and data.table version (fixes #2715) @jameslamb (#2846)
fixed cpplint issues and updated docs @StrikerRUS (#2830)
[docs] Added subsections into param list @StrikerRUS (#2779)
Better documentation for Contributing @guolinke (#2781)
[docs] fixed metric_freq param description @StrikerRUS (#2780)
[docs] removed mentions of sparse_threshold @StrikerRUS (#2758)
[R-package] clarified error messages and documentation for lgb.get.eval.result() @jameslamb (#2686)
[R-package][docs] made roxygen2 tags explicit and cleaned up documentation @jameslamb (#2688)
[R-package] Added instructions for generating R test coverage @jameslamb (#2664)
[R-package] [docs] Added reference to unofficial R extensions (fixes #2640) @jameslamb (#2670)
warning for init_score in save_binary @guolinke (#2649)
[docs] provide link to m2cgen from convert_model_language param description @StrikerRUS (#2591)
[docs] added link to cuML in external repos section of README @StrikerRUS (#2634)
[docs] added search key words for artifacts @StrikerRUS (#2631)
[docs] enhanced description of cat features param @StrikerRUS (#2627)
[docs] updated records of kaggle competitions @jameslamb (#2621)
[docs] added link to kubeflow fairing and enhanced parallel guide @StrikerRUS (#2602)

🧰 Maintenance

[CI] fix R's installation @guolinke (#3279)
[R-package] move all examples to dontrun() to fix R CMD CHECK notes @jameslamb (#3270)
[R-package] add some R build files to gitignore @jameslamb (#3271)
[tests][python][scikit-learn] New unit tests and maintenance @a-wozniakowski (#3253)
[ci] run Travis and Azure Pipelines only for master branch @StrikerRUS (#3265)
[R-package] allow R to pick between -fPIC and -fpic for CRAN package @jameslamb (#3261)
[TYPO] DatasetLoader::ConstructFromSampleData @lcsdavid (#3258)
remove unnecessary semicolon @jameslamb (#3260)
[ci] partly remove macOS temp CI fix @StrikerRUS (#3251)
[R-package] remove duplicated test @jameslamb (#3250)
update gitignore to ignore files created by clion @zhengruifeng (#3248)
[R-package] Add tests on lgb.check.eval, lgb.unloader, and lgb.encode.char @jameslamb (#3235)
[ci] remove unnecessary R_CHECK_FORCE_SUGGESTS in CI scripts @jameslamb (#3240)
typo fix @guolinke (#3239)
[SWIG] removed commented code @StrikerRUS (#3233)
[R-package] add test on importance types @jameslamb (#3231)
[R-package] factor out {ggplot2} @jameslamb (#3224)
add rules for tests/ in CODEOWNERS @jameslamb (#3226)
[ci] bump R 4 version @StrikerRUS (#3225)
[R-package] remove xlen_t in custom R-to-C++ interface @jameslamb (#3223)
[R-package] remove unused Suggests dependencies @jameslamb (#3217)
Remove extra semicolons @AIshb (#3215)
[ci] [R-package] catch builds that have not updated docs @jameslamb (#3205)
[ci] bump gcc version for macOS @StrikerRUS (#3208)
Allow the minimal feature to 1 in column sampling @guolinke (#3197)
[R-package] [ci] Fix MiKTeX downloads (fixes #3198) @jameslamb (#3199)
[python][scikit-learn] new stacking tests and make number of features a property @a-wozniakowski (#3173)
[R-package] fix R CMD check NOTE about leftover files @jameslamb (#3181)
[ci][docs] added GitHub Actions badge and simplified condition in config @StrikerRUS (#3179)
[R-package] [ci] cut nrounds in unit tests @jameslamb (#3169)
[ci] update Boost version @StrikerRUS (#3175)
[ci] Move R Windows CI to GitHub Actions @jameslamb (#3168)
[ci] avoid VS warning for R builds @StrikerRUS (#3162)
[ci][docs] temporarily pin Sphinx version @StrikerRUS (#3157)
Revert "re-order includes (fixes #3132) (#3133)" @StrikerRUS (#3153)
[ci] make MiKTeX downloads more reliable @jameslamb (#3124)
[ci] use GitHub Actions for R CI jobs (fixes #2353) @jameslamb (#3119)
re-order includes (fixes #3132) @jameslamb (#3133)
[ci] remove unused environment variable in CI setups @jameslamb (#3125)
[R-package] move R source files into R-package, reduce duplication in build_r.R @jameslamb (#3087)
[ci] fix add-apt-repository warning @jameslamb (#3104)
[R-package] characterize all cmake messages @jameslamb (#3105)
[R-package] [docs] replace build_r_site.R with pkgdown::build_site() @jameslamb (#3098)
[ci] bump XCode version at Travis @StrikerRUS (#3097)
[ci] avoid duplicate AppVeyor builds @jameslamb (#3096)
[R-package] [ci] Fix CI timeouts for Mac builds on Travis (fixes #3091) @jameslamb (#3092)
[R-package] fix warnings in tests @jameslamb (#3069)
[R-package] [docs] remove devtools dependency for docs builds (fixes #3036) @jameslamb (#3072)
[R-package] speed up installation with Visual Studio @jameslamb (#2965)
Update CODEOWNERS rule about CMakeLists.txt @jameslamb (#3079)
removed deprecated code @StrikerRUS (#3073)
[R-package] added tests on LGBM_BoosterResetTrainingData_R @jameslamb (#3020)
[python-package] Use set for OS check @jameslamb (#3059)
typo fix @guanqun (#3055)
[ci] fix flaky test @StrikerRUS (#3056)
[docs] update ROCm link in docs @StrikerRUS (#3050)
[R-package] [ci] Add Windows CI for R package (fixes #2335) @jameslamb (#2936)
[python][tests] unused and missing imports @jameslamb (#3023)
[R-package] added tests on LGBM_BoosterRollbackOneIter_R @jameslamb (#3006)
[R-package] Added tests on LGBM_GetLastError_R @jameslamb (#3005)
[R-package] Added tests on creating a Booster from a Dataset @jameslamb (#3007)
[ci] minor CI scripts update @StrikerRUS (#3019)
[R-package] [ci] added echoing of R CMD check logs to CI @jameslamb (#3009)
[ci][docs] Fix RTD builds @StrikerRUS (#3015)
[ci][docs] be compatible with Sphinx 3 @StrikerRUS (#3013)
[ci] Changed use of strcpy to snprintf (fixes #1990) @jameslamb (#2973)
[R-package] Updated package metadata in DESCRIPTION @jameslamb (#2993)
[R-package] Removed unused constant in R_object_helper.h @jameslamb (#2994)
Update CODEOWNERS @StrikerRUS (#2996)
more cpp lints @guolinke (#2985)
[python][ci] start to support Python 3.8 @StrikerRUS (#2713)
[ci] fixed r-lintr version constraint @StrikerRUS (#2990)
[R-package] Added unit tests on creating Booster from file or string @jameslamb (#2945)
fix cpp lint in json11 @guolinke (#2975)
[ci][docs] downgrade breathe @StrikerRUS (#2982)
[docs] update URL in docs @StrikerRUS (#2978)
[ci][docs] downdrage sphinx and fix LaTeX error in R-package tests @StrikerRUS (#2977)
fixed cpplint errors about string& members @jameslamb (#2929)
fixed cpplint errors @StrikerRUS (#2971)
[ci] upgrade to R 3.6.3 in CI @jameslamb (#2969)
replace built-in assert with own CHECK macro @StrikerRUS (#2938)
Cleanup MissingType enum constants @AlbertoEAF (#2931)
[ci] reduce duplication in Python Windows CI @jameslamb (#2962)
[R-package] [ci] Add option to skip installation in build_r.R @jameslamb (#2957)
[ci][docs] fixed broken link @StrikerRUS (#2956)
[ci] changed CRAN mirror to fix failing installs @jameslamb (#2954)
[R-package] [ci] added check on number of R CMD CHECK notes @jameslamb (#2942)
changed sprintf uses to snprintf @jameslamb (#2920)
[R-package] fixed some minor issues with testing on Windows @jameslamb (#2908)
[R-package] added test on uncovered line of lgb.plot.importance() @jameslamb (#2903)
[ci] fixed cpplint errors about namespace using-directives @jameslamb (#2927)
[R-package] fixed NOTE about unrecognized global variable @jameslamb (#2928)
[ci] fix VS project files @StrikerRUS (#2924)
[R-package] [ci] added more linters @jameslamb (#2803)
[R-package] removed duplicated code figuring out build_dir in install.libs.R @jameslamb (#2917)
[R-package] added command to remove build/ dir in install.libs.R @jameslamb (#2909)
fix release-drafter.yml @guolinke (#2895)
[R-package] removed unnecessary flag in tests @jameslamb (#2910)
fixed cpplint errors and disable warning only for VS @StrikerRUS (#2888)
[R-package] cleaned up formatting in R C/C++ files @jameslamb (#2844)
[R-package] Introduce R-specific control of lib_lightgbm @jameslamb (#2837)
add more bots @guolinke (#2843)
[ci] fixed cpplint warnings about braces @jameslamb (#2869)
use specific checks in auto config @StrikerRUS (#2864)
fix warnings in debug mode about that not all control paths return a value @StrikerRUS (#2866)
fixed cpplint issues @StrikerRUS (#2863)
[R-package] [ci] added tests on early_stopping @jameslamb (#2848)
[docs] update link to MS MPI @StrikerRUS (#2861)
[R-package] removed unused imports from R-specific lib_lightgbm components @jameslamb (#2845)
[docs] Fix description according to markdownlint @daikikatsuragawa (#2865)
[ci] fix R tests for macOS on Azure Pipelines @StrikerRUS (#2856)
[R-package] added test on training with sparse features @jameslamb (#2847)
introduced specific CHECKs @StrikerRUS (#2849)
update lockbot @StrikerRUS (#2842)
fixed cpplint error about namespace using-directives @StrikerRUS (#2836)
Update BUG_REPORT.md @guolinke (#2833)
Add lock bot @guolinke (#2815)
No LinkTimeCodeGeneration in VS @guolinke (#2812)
[ci] bump Azure image versions @StrikerRUS (#2822)
[tests][python] fixed pandas deprecation warning in tests @StrikerRUS (#2819)
replace std::runtime_error with Log::Fatal @StrikerRUS (#2816)
Make timer thread-safe @guolinke (#2800)
fixed cpplint issues @StrikerRUS (#2809)
fix clang warning for GPU @guolinke (#2807)
[R-package] [docker] Added ability to build LightGBM in an R container with different R versions @jameslamb (#2787)
[docs] fixed broken links @StrikerRUS (#2795)
some code refactoring @guolinke (#2769)
fixed cpplint issues @StrikerRUS (#2771)
[python] in sklearn wrapper pass cat features to Dataset constructor @StrikerRUS (#2763)
fixed cpplint issues @StrikerRUS (#2756)
Refactoring monotone constraints (linked to #2305) @CharlesAuguste (#2717)
various minor style, docs and cpplint improvements @StrikerRUS (#2747)
[ci] avoid Appveyor failures @StrikerRUS (#2753)
warning for testing col-wise and row-wise @guolinke (#2727)
no omp_set_nested @guolinke (#2734)
[python][tests] fixed typo @StrikerRUS (#2732)
removed AVX2 from VS config and reset PlatformToolset values back @StrikerRUS (#2731)
[ci] swap compilers back for CI services @StrikerRUS (#2730)
[python][R-package] removed duplicated code from language wrappers @StrikerRUS (#2606)
[docs] fix RTD builds due to conda's problems @StrikerRUS (#2725)
[ci] use raw strings in NuGet helper script @StrikerRUS (#2710)
[R-package] moved parameter validations up earlier in function calls @jameslamb (#2663)
[R-package] added test that Dataset$setinfo() converts 'group' input to integer @jameslamb (#2687)
[R-package] added tests on lgb.plot.importance and clarified documentation @jameslamb (#2692)
check _mm_prefetch in cmake @guolinke (#2694)
[R-package] added tests on lgb.prepare function @jameslamb (#2685)
[R-package] [ci] removed TODOs in code @jameslamb (#2667)
[R-package] simplified lgb.check.eval() @jameslamb (#2654)
[R-package] removed function lgb.check.params @jameslamb (#2652)
[R-package] fixed typo for variable valid_contain_train @jameslamb (#2653)
[ci] bump XCode version for Travis @StrikerRUS (#2646)
fixed some cpplint issues @StrikerRUS (#2635)
[R-package][ci] added CI stage for R package (fixes #2335, fixes #2569) @jameslamb (#2530)
[docs] fixed broken link in docs @StrikerRUS (#2623)
[python][R-package] warn users about untransformed values in case of custom obj @StrikerRUS (#2611)
[docs] fixed broken link in docs @StrikerRUS (#2601)
fix compile warning for HDFS version @StrikerRUS (#2586)
bump version for development @StrikerRUS (#2599)

Open source →

2.3.129 Nov 2019Deprecated

c1a7b291c5621030c43cba4a8182e9199ed08e67 [python] removed deprecated code

Changes:

471d0aaaaa8574b9a1da2302e992f61b01e3d155 update release date for R-package
102893a11c1dd712bb70d87b3b129ddf42daf06f [R-package] fixed minor issues with tests and documentation (#2581)
16c551c13d49c03fd4d871418257b1d89569d95b [docs] updated instructions in examples to match ones from ranking example (#2585)
49df9e60d742ca7be8a7aad65f9a6b2519883819 [docs] Update LambdaRank example documentation (#2548)
6a3e27df0348a727c5b02a18b13579129da01102 Avoid the issue is labeled to bug by default.
a6ba859ed5ec19e8af0704c1b9ab7c65684b3f35 [R-package] fixed parameter-name typo in lgb.cv() (#2576)
1f7b06b98391395b6fd2f0bd7937353254718956 [R-package][ci] Added more R linters (fixes #2477) (#2533)
11f9682bb72dea34313758f054ccf37886dc7e6e Fix build error when HDFS is enabled. (#2540)
26ff099ab47cd98f7613503ff5976f7359e3465b explicitly import std::max from <algorithm> (#2562)
a8dc03250e235a00baf3ecefe4155023624dd239 [ci] fixed cpplint warning about parenthesis placement (#2563) <details><summary><b>See More</b></summary>
41c366ee6b69571202ffbdca5965219cb6cf0ac4 [R-package] [ci] pin roxygen2 version for RTD (#2568)
cf8c8c0b9bdedb9c0226123b6d0d716da108e3be Fix detecting alias of objective in loading from model strings (#2565) [ #2564 ]
3e3d76f64bfa3d95f9769bd82be7124158ff3df7 [Java] MMLSPARK-ISSUE-720 - Create SWIG version of BoosterDumpModel that returns string to be used in Java (#2560)
7feaaefb5b730524d12449e48d93a862a668a024 [docs][docker] cleaned up CODEOWNERS and fixed build warning in dockerfile-python (#2555)
31bec2fb3dd7f20ea995734bace8b378467949b8 addressed linting items about empty statements (#2545)
a94275120f37e3bbb74d63f50a6838b8926c7fec [R-package] removed unnecessary Suggests dependencies (#2543)
b2da19b88df1a8d014a9e1b46086e2def20ad4d8 check feature names for special JSON chars (#2557)
83ecb38600e99fb017c51af805b32b13f262d764 [docker] install ca certificates package on ubuntu image (#2554)
76bda1e25740d79d03aadbaeba5aecd0551bde6c support Catalina (#2556)
785e477856b9e9e9e69123caf175dbb8455c3b11 [ci] removed temp fix for Graphviz from conda (#2551)
7cfb492e7733f73526fbf8958d850bbb94af83ed [ci][R-package] removed outdated comment in lint_r_code.R (#2541)
516bd37a28a0dfa7c2bc4a24587dbbcb8a697eb2 renamed variables from bias to offset (#2539)
bd7e1842042ff38dfe3f89e67021479cf2d21f0d [docs] refactored News section in README (#2529)
a36eb7e76f7ff6e80358aabfd2b6f1b2c04ad41d remove many vector.at()
8f7199a44b290a13e8b4a82eb45f7389785c26fe [docs] update MS-MPI link (#2528)
1f1dc4521e2556f79664274b61da0e2d78325964 [tests][python] refined python tests (#2483)
00d1e6938a3f8566526d470057f8d26ec1289208 [python] removed unused pylint directives (#2466)
f1d4e449b7f7b8b20fa04b694a976961f81a3728 fixed casting warning (#2523)
85be04a62a961ed8f1a4012d6480e3b2c986880a [R-package] Disabled early stopping when using 'dart' boosting strategy (#2443)
fc991c9d7e07fd8e460ea24d1f5609f61fd2af3f [R-package] added R linting and changed R code to comma-first (fixes #2373) (#2437)
b4bb38d9267ccc966f0bb8cdd6e2eece2b4c08e3 [R-package] Added unit tests (#2498)
bdc310a8a4860772327aae539eff30f9db8fd673 [R-package] Sort indices in lgb.cv() (fixes #2503) #2524
44b0acacb2ddcd25482c6002e9ed68ce4a711c91 [ci] removed temp fix #2522
5dcd4be924b54dfa36bd564338a4199e61bb17ed [python] handle params aliases centralized (#2489)
fbf95687adfe1518bfff722bced1cd5d1c30cb54 [ci] reduced number of commits cloned to CI environments (#2495)
465d1262eb1d8eb3cfa7cc505140c035e52c8118 check sorted indices in Subset (#2510)
198d0f3bf1d7f183aabaa6ee7d9cc145dd944dcc [docs] added m2cgen in README (#2512)
72027036a978e0f455304ae9963b7bf3b9c2eb4c [docs] removed misleading section about pep8 in python's readme (#2507)
2c3ebd94dc959259ebb3703737e6029d77b63b30 [ci] miniconda installer hotfix (#2511)
b1c50d07cee4f6042a5d50c2c92ca81b321b000b [docs] added logos to badges (#2506)
40e56ca7aea0d385c149ff3da4cad7067221df38 reduce the buffer when using high dimensional data in distributed mode. (#2485)
4848776fb1940adb4423ba27d7c152bba06cd9cf [docs] clarified support of LibSVM zero-based format files (#2504)
b0500dde9a108701623cb80ef5e92006aca35c10 [python] DPI arg in plotting functions (#2491)
dc5840709909bc18df437cddf62677f7be2915a4 fix bug in parser
fdb39237f69ea82091d27d2504da08abd323b4dc updated dockers (#2459)
d7f8aa53b8be5212887e97e474c90bc5d8beac19 [docs] fixed miscellaneous typos in comments and documentation (#2496)
ff4e48ce53f20f8546d7067b6804810ca5f79c07 reworked GitHub issue templates (#2492)
780a3fdf2fd06c39c3d93230bce99c3d4174fd17 [ci] removed temp fix for missing package (#2493)
dee72159d36a66d72372ec7fa783d1682eef1411 check the shape for mat, csr and csc in prediction (#2464)
dc65e0ac6ee8faa5790263a8dc2d9cc2a8dd7c4b [ci] fixed whitespace cpplint issue in auto-config (#2488)
67099ff8a79681a1965160efcbec76ca8f7a2c30 [ci] added build/c++11 to cpplint filter (#2487)
c1a7b291c5621030c43cba4a8182e9199ed08e67 [python] removed deprecated code (#2474)
9b61166fccab1edc92edebc97ef6714018736b18 fixed cpplint errors about spaces and newlines (#2481)
6036e07d1fa049b184bd70f23ec9923038b6d88c [ci] move Clang linking into docker (#2476)
e6505417eff10d1bae863d72d2a08469afc19e04 [ci] removed outdated code (#2475)
54be4204a02384a6c9655b8290845174600af54b [docs] updated problem link #2473
5c0daca0a1ae601aa2bdcaa0d2fc16bcf3be150a [ci] use the latest versions of OSes at Travis (#2467)
3d407b67e5006deb1a63d2ded8a9e430ff86cafb new version number after release (#2469)
42204c43da08ddacd0fa98a9e43d2c56ec8b9fb9 [R-package] factored dependency 'magrittr' out of R package (#2334)

This list of changes was auto generated.</details>

Open source →

2.3.029 Sept 2019

b3c126629ee5ce83c4d9b5111eaec678af8de421 v2.3.0 realese

Changes:

b3c126629ee5ce83c4d9b5111eaec678af8de421 v2.3.0 realese (#2138)
cc7a1e27398d86e9befdf6eb08141359882f3d49 Predefined bin thresholds (#2325) [ #2342 ]
f2632a6e1eb1088ea3f462724e61d70f7131c784 [docs] added installation guide with Homebrew (#2414)
1f88721a7982a804731b1dc108ee40625405639c Fix Integer Overflow #2357 (#2400)
d064019f2214c3e0fe21762a8788da39d50f5e13 [python] avoid data copy where possible (#2383)
7a8c4e52b6c3d32057fba363408ab72e8bfede88 fix bug in reset config for dataset (#2453)
70fc45b0e7299aaa0ac35019d06575d0ed0f61c3 code refactoring: cost effective gradient boosting (#2407)
e771538f5fb5e00618e64e570d32a70914425cdf Force bin json (#2456)
a0d7313b81a85754a0549bbd0354f9e74d832672 fixed docstrings (#2451)
7b2963d9a5c4d6b90ce7bbf58eefb86ca089b229 [Java] add missing JNI exception checks to fix warnings (#2405) <details><summary><b>See More</b></summary>
a0a117aab8687ca3dffa98e4de790b4ce21599ab [python] make dump_text() private (#2434)
2bf9a0f10c60e7f62cfc6eaa9fce78ae119a4eb2 remove the duplicate data path (#2432)
fe9f292cb3403861f0f755688d1e94fd981ce207 added new early_stopping param alias (#2431)
be206a96e7be553b0918805f6641e91285ce89d1 refined order of includes (#2436)
2e9f255e91016f0b4133d4436d2ea49ad9e1d0be [docs] refer to RTD site directly (#2415)
e47d9414282ab93bd4e1e582cb17632a711643a6 [ci] temp fix for missing dependency on Windows (#2440)
e77658205d3b1bc5c19e4ba3821f4222f5be8c05 Update setup.sh (#2421)
f1fbc2f1eed48318aeb83117d9606c1e3d145052 added JAVA codeowner (#2430)
4fee5821eeec82521a1e58ca275982b3abcd68b9 fix codeowners (#2429)
f1a1486929f8e981c44cba45132f5b4929453f8a fix many cpp lint errors (#2426)
4f89cc10785318f051602f5fa7fa9d61bc805980 [ci] added build/include_subdir check to filter for cpplint (#2427)
306c6dbfd507c2d89b0d593cc2a42cd72a14e777 [ci] added cpplint check (#2416)
a3a353d6832b3653f222886f912293998ff8ae69 At least 2 features are chosen in subcolumn (#2409)
a119639a5bfaa78887a4867da611da977fc072f2 fix the objective init issues in distributed mode (#2420)
023749239ebf390b5d56e08f227a013cbd972eb0 added editorconfig (#2403)
84754399a6b5575906628d457559ff6fb5aca2c2 [python] Bug fix for first_metric_only on earlystopping. (#2209) [ #2273 ]
939a02482bda2ff5e15887549a8ddfbe9865b087 fixed C API SetField description (#2406)
15566421bcc96d46bac353dee17b981a12827604 [examples] Update example notebook (#2391)
ad8e8ccc9c9a5f8acb192b28715827ebc28dcc07 update feature_fraction_bynode (#2381)
a1a4103797fd320f5379f9ad399affd34e50c6a5 [examples] really use weights in example (#2378)
b310fb417e4078cc30b153a5ef8f60c06d9ca9cf [ci] add if-else job to Travis (#2389)
9f6e4413bddb7395f9dd1b2678df4820bcb65483 [python] keep consistent state for Dataset fields (#2390)
f52be9be5091d300078f0b4fa3641a165ed3f905 [python] Improved python tree plots (#2304)
b6d4ad8361379a902091e3a584491c39fa89ef2d added JS file (#2387)
33d0378ffe1c7d51adb9ac20ea137b94841d0677 avoid nan and inf in weight/label/init_score (#2377)
de1f3cb3e2e71dd83913447fe70b52b59ad8aaea [python] removed excess condition (#2385)
22cd39e89a9139f7fb74aec7b612cef57ddf760c [python] fixed typo (#2386)
7509ec8ade06b13bd10aff41ece78c02a7993535 [python] fix group type in lgb.cv (#2384)
29525ffefba94ea994e28d0db1d8029a6041e3ae [docs] added reference to leaves Go package (#2379)
4c8418ea12056fb364d6e0b4357a1bddad890971 [docs] R docs cleanup (#2375)
df26b65d786532b88b13d13cf8e4b7ac9fa8d8cd [ci][tests] install joblib for test directly (#2374)
bbbad73db3006ad75db21d0947b50a97610d4d90 sub-features for node level (#2330)
288ba0ad8fd9815b4778a15af2b2ff9da09e94bd Added link to Ruby gem [skip ci] (#2367)
e7c6e67aaa975fb515f39c6938671d1a12bef64f [tests] simplified test and added dumped data to gitignore (#2372)
0f9720bffe996183382209ee6171069c3cfee550 [docs] fix version type in the R-package tooltip (#2370)
faba6cafb7ea74203102d1b8752e53ada6e7c0cc [docs][R] added R-package docs generation routines (#2176)
317b1bfbbfdd8f8a4f5af16b970526bb9486f588 [java][mmlspark] Fix cached predictor causing bad values for predicted probabilities (#2356)
254a8699c9b869fde4547cf87289f455d690f7f9 [java][mmlspark] fix lightgbm on windows (#2364)
0551f77517d971ce9bc32e2633768245957b410a change network retry delay strategy (#2354)
5f5dcff60471853d27b1c0ff82122199e9196080 [python] correctly handle full path to compiler in CC and CXX env vars (#2345)
4fc0416fabee5ba8f062f6d7dd966e1b207b7f4f [docs] Clarify LightGBM on Spark Reference (#2358)
76e57c5dc0c45e75f1c3f8ba7ca246952228357a informative error for custom obj in RF (#2355)
0dfda82607633132e10a693eba9666ed75585ac8 normalize the lambdas in lambdamart objective (#2331)
5e60224426f99a1a58fa85f279d5e3fad01e1b09 fixed compiler check regex in install.libs.R (#2346)
15d861cec3dfde1fa31c777978cc74f59cedf777 [R-package] fixed overly-strict compiler check in install.libs.R (fixes #2259) (#2339)
20f94c52524ace54a8f05df3b3ad07d1f91ff617 fix the bug in bin with small values (#2342)
86c6a2d0884521e971c8cf17947438f1be64661d [R-package] trimmed whitespace in R code (#2338)
8415924c8fac4c1192cad209e38193ad0059e0d3 [R-package] corrected typo in R unit tests (fixes #2336) (#2337)
c0883f174cab469a3a59f7796807081fe31d6497 Fixed keep-empty-dirs flag in build_r.R (fixes #2332) (#2333)
686b0cc2f9a1639a65a3b9ae4b7ed11bdd142082 [docs][python] allow usage and compilation of 32-bit library (#2188)
aee92f63ba124e1f6a3168eb2864d032567cbf9e sigmoid_ in grad and hess for rank objective (#2322)
c421f89851dd460ce50c8dc8f4b638f9b5748501 Bug fix: small values of max_bin cause program to crash (#2299)
9558417a12dec04b2ee9ba1e3f8be40521b33642 fix nan in tree model (#2303)
578a8c8a996c74c5d408e1ca5dff27bfe81f79cb updated docker folder (#2316)
b0b45911c0bc87f18cfc09fba6cc62e0d0f90d01 updated R-package authors (#2321)
8f446be749cb7a03fc4c65cd47e595a4e5c94d1f [python] add sparsity support for new version of pandas and check Series for bad dtypes (#2318)
9cf6b8283d6257bf5b044197de7c77c709c85def add Dockerfile for R (#2308)
5cff4e8e2fb2280ed302ed73c08bd95d035c7889 [python] Deep copy params in _update_params of DataSet (#2310)
a8d8b07d3afd3b2386c64fce3fd2d8f302372ab2 [docs] remove aliases from options in params and remove separators in FAQ (#2296)
6b94c8e0f2b841785b77cad9f69736419c6d2518 [docs] generate contents in Installation guide automatically (#2298)
28dc333d3f5eccf0a904aff4fb2404a57850f421 [docs] fixed params description (#2306)
0197dba0613c46316518ef022e18a110025a1c59 [ci][docs] update the list of ignoring sites for linkchecker (#2307)
f68e1b50fb87f157b36cda16136a326e5a29db09 [docs] limit number of files to scan for autosummary generation and reorganize conf.py (#2297)
55656f27e13e35a634eb01a11493b10ca1c65c1c delete the variable which is never used (#2294)
c17a5f5b8402908da1b1dfdc74a6e40530a6ffe0 Refine the description of is_unbalance
6c210209fbe4694af613bca405fa5de72f10d72a change the priority of init_score and init_model. (#2291)
04a56010ec94124da9e8c37006278a5a4b34b842 [docs] 📝 FAQ overhaul for linking to individual questions (#2293) [ #2268 ]
11c24cf83584bb771b42520071e9c239700b0e86 [docs] added FAQ on early stopping (fixes #2270) (#2272)
274f340ae8232c707428d1747a857f4fc2511146 allow passing empty value in parameters (#2289)
207bb3ef329b38fc255ef36b1d7ca765924363ea [docs] 🎨 Sphinx Autosummary for generating Python-API documentation (#2286)
5dc1507e1ce0e21db37d2132ed373f8c8a708351 [docs] updated js file attaching mechanism (#2287)
5d3a3ea47eb8693c924ffb891387e93534f92896 fix metric alias (#2273)
716fe4d015c2333f9a261f853ff559ef385add17 fixed cpplint errors about spaces and indents (#2282)
ee28ea36a456a064bc1d6ea900a0880f9a3c711f [ci] remove temp fix and fix activation for conda (#2280)
e1d7a7b9e332851063ebb066d395937afefe76f1 add weight in tree model output (#2269)
86a957830b7caf2cedb7aaa23e824df6b38f7c7f fix MissingType::Zero in categorical features. (#2275)
7189743d224a405bb48050834460d107fb7c1c0b Update README.md
0d59859c670b9de37bffa8a6e536497c88d9f25d throw error when meet non ascii (#2229)
0d02499e4c00fba279b4e3aa15f314800d1d4461 [ci] added CODEOWNERS (fixes #2194) (#2196)
7360cff94b65562509989802183223017ed3bcc0 fix init_model with subset (#2252)
ebc831bc53b746c5cc079955364008f591877015 fix bug when using dart with init_model (#2251)
291752de3e647f645689f180a0a2ba0efdaf80b9 Max bin by feature (#2190)
1bd15b9447e0925e6704cfce6caa3ba4fa9b7758 fix refit decay rate in python (#2254)
bf78008b47a7b1c0ca7c6174481e21b85d02c1aa switch name and alias of rmse metric (#2257)
4ca85fbce7db160414141db76b60691b65eaa229 turn on release notes (#2256)
16751b3803e847592dba3bab876c4f052507e45d [ci] downgrade conda (#2245)
62935f52621549bd273dc3e11d92c6b444435aa7 updated boost (#2218)
86269ee38da20785097cd35aa7eb0b946864fe76 [tests] use numpy.testing.assert_allclose (#2207)
5b24834102528d56521ba8e44bbddf039319ebcf avoid the bad_alloc when overflow.
cdba71475f3751e26b62beb3e6bfec9a3f6f6962 balanced bagging (#2214)
7da11ffeacf79be81839431b1cbc7c293ba7d9bd [docs] add "download" badge (#2224)
21e356d02443e675a9696aaa44cbef4ab10316cb [doc] updated links in README (#2231)
c4cd65ff05f4594be926305ff6fad4dfb4cfdd67 [R-package] mojave install r openmp fix (#2164)
8ecae562582a2b76062a81b9e70888e18ccfa031 [ci] add OpenMPI link to ignore list (#2227)
dace0508cbe94e06294fed590aa1c422d1f20fb0 consider max_depth for histogram_pool_size (#2216)
b6f6578368dfeb605a66df9cce753886d76f71f3 [python] fix class_weight (#2199)
7d03ced3880cb56af68734d447ebfdd18a9dcc11 [python] removed unused import and variable (#2213)
de70c7d7e7b44b591336ab814a373b30f32f4ba0 [Python] Fix typo in engine.py (#2211)
520247ccb34d5e576fa762d70d665873abbae62a fix unsorted eval_at (#2206)
b1e5a843ab57c64b01c8896ef3cda6fdf907d417 [docs] fixed and enhanced format of C API (#2195)
f70a05328c87f3f9b40ab941648d15675fa9d109 [R-package] Fix best_iter and best_score (#2159)
2459362acd9a6ce946af8cb6d319d0919a9a4730 [python] fixed picklability of sklearn models with custom obj and updated docstings for custom obj (#2191)
e5b6e50e30efbdf2fa1202666c54a8b6600bea5f [docs] reorg the doc in main page (#2192)
b3db9e924a8d48a0b4d67097cf7dcc79bc50b9d9 Top k multi error (#2178)
19de2be0deb388a0cafc0aef90de0d1c9da49812 [ci][docs] refine C API docs (#2076)
fc789e044a9bb2559c413905569677ec3e2ad07e fixed cast error (#2186)
6a1a538f456b36f05a70d6956c47be7f0dc2b7df [docs] remove duplicated param in Python-Intro.rst (#2181)
a66c34407dcb3f94f6d29b0a5098d7ee0e1dd59b [R] fix map metric is higher better (#2183)
a7885b60dd398fc89d797049a31c7b85713c966b [ci] removed temp hotfix for Yahoo URL (#2162)
f01b2aca13e787e2945eba7c2bd85e31c65923f8 first metric only in earlystopping for cli (#2172)
c9d681ac0d8c7e242b2fff217db268c11c83c745 [ci] migrate to new Dockerfile (#2174)
6f3fae51fe98c71a5c54e0fe27d7a05d5195c3f6 [doc] minor doc fix for gamma param (#2180)
3d8770aff7c4cb4c5bc4774802b68fde0500c381 [docs] fixing max_depth param description (#2155) [ #1879 ]
b3c1ffbf9f0e7fd2c98b40b8b6ffb86308d8f408 [ci] create GitHub release automatically (#2171)
f91e5644a3ab5104a942e2fb23f6f9239ef08a54 [python] added ability to pass first_metric_only in params (#2175)
2a3691703c1f5aa5109881455cfc909f80c7f50f [ci] added swig compilation on macOS and Windows with artifacts (#2170)
76170788c4bd6239334408f88cf51183ec791fa2 [ci][docs] updated fix for OpenMP conflicts (#2166)
e09e4caa4ded45a074e05ab247e8a4f11ed12644 fixed minor issues with R package (#2167)
1a1c2fd752ee2ea27312663a6c3ccfdb6574b298 use stable_sort for splits (#2169)
abbbbd7545e6a0549c17a182b7a59d7468cfb58e [ci] CI fixes (#2161)
5d6513ef20f9b51368b4171b0d19a5b0530cee18 sort after get top K splits (#2154)
1c27a15e42f0076492fcc966b9dbcf9da6042823 removed external dependenciesin build_r.R (fixes #2122) (#2123)
94fbe5bb9fbb5f6067821f0be9cd145f0b7d7d94 [docs] updated Microsoft GitHub URL (#2152)
f46f8b2a049f0745c0b8eedfd662289649faccf3 fix warning
46d2147684a86d7b4219c83386c469d34c1b075f fix a bug when bagging with reset_config (#2149)
2c41d15e06a54b3757ac0b3cae53390fb4db52c2 [ci] nose is not needed anymore (#2151)
a47782f540c9afe149ed608cd68efea53e4746ed added estimator's tags (#2150)
cfcc020e5857b152cf4664af834961f950fea0a1 [ci][docs] generate docs for C API (#2059)
804c5cdfa7c187f3197d4fa69452bf4ad48ca060 [doc] OS name in bold (#2147)
b40d0dc3d65e84fca7eec1689d238c9943d37db5 [ci][SWIG] fixed SWIG -Wstrict-aliasing warnings (#2139)
7156c9b09edcbd61ea82ed6c73e73c46d6de23c9 [SWIG] fix swig build warnings/errors on windows (#2141)
40e3048f6185bb8f3f50bd9fe7275cf514b03b16 [ci] removed graphviz from docker (#2142)
93a899ac7c80b7e71ea2ccc31b4f15ba3fabb7dd [ci] hotfix for check the docs(#2145)
611cf5d414a8273dfdd261651e2f127322a3db89 [python] added plot_split_value_histogram function (#2043)
65c7779d18aed2c5d6d5457eb5ca2a32bf1a7dd1 [ci] point to latest CMake modules (#2140)
5ece53b5e04821e70c0ac81706531c1733b91f58 [docs] updated the part about Boost in installation guide (#2082)
57ed8794e40a77e2910a19e67635f0b53a57a696 Fix build of GPU debugging code (#2071)
a295f6b0679d116c7f6388f420da355099e7f9b1 Removed legacy code (#2137)
739c2635f4084e07f5b57666bd7f2fdd929bf30e [ci] added job for swig compilation on Linux with artifacts (#2125)
8d2ec69f4f685b0ab1c4624d59ee2d3287bb3147 [python][R][docs][ci] better compatibility with Visual Studio 2019 (#2083)
de82ed585145414390cc8f9f6aa061566f732d97 [SWIG] added typemap for string arrays in SWIG interface (#2118)
c45ec4f1535539caf099a883f0505a5856593c9d dump_model() bug with num_leaves=1
24ad35f748724a341c3318f136948dbd5c7263ff fixed minor typos (#2119)
044a39d0ee7b3d3d91414f3ada281f271a90587f [ci] hotfixes (#2132)
4be53a5a1f18892692138dfd3085190124bc1a3e [python] disable default pandas cat features if cat features were explicitly provided (#2121)
d115769c2a2ddffadc76c7b84739a47937114c77 [python] ignore pandas ordered categorical columns by default (#2115)
89f2021a4d971284b1fb2dea5a94b8ec4725933b [docs] Update doc string for pred_contrib (#2116) [ #1969 ]
beb35d567de899b140bd61e174ef3b9ef5fd0769 [docs] added note about the spoiled probabilities (#2113)
29617593375c06dba9ad7ca270484a6a1e88068f minor fixes in CMakeLists (#2099)
975d2641c59a53bd8d98d64797f989f6c7fbe5a6 Fixed typo in regression_metric.hpp (#2111)
ca85b6795002cc0c74d8e97d19fee88ca6ecc98e [python] add flag of displaying train loss for lgb.cv() (#2089)
8ffd8d80e47e40ed6439123de85ab8bacffc1bb6 fix overflow in WeightedPercentile
5b5b98235e4fa8c1eed67f57bf5c409bbe1a09e0 [python] make possibility to create Booster from string official (#2098)
0a4a7a86f5a1d3146c36c7d8c082154a193d4893 fixed cpplint errors about spaces and newlines (#2102)
32ef7603aba858b1e3dbf98e23d99a4cb2ee99b8 added copyright message in files (#2101)
50ce01b55e6bbac1dd00e2f9b1b639dcc37f2660 reworked includes in source files (#2066)
c56412a859d4968f2b720514306be3404552b385 [docs] updated HDFS guide (#1890)
fb9b2b8af61806343586aaf74be814cc8c9e977d add IntelliJ IDEA to .gitignore (#2093)
0e025e9c223023e49f90b1d026b6eb287d125972 [ci] update macOS on Travis to Mojave (#2086)
b3c31c40151bcefe825a7ed5ac1ae28ff737a57e [docs] Python wrapper doesn't support params in form of list of pairs (#2078)
691b842832f511a72b4aaab715b3cb6b00de8f90 [ci] update CI stuff (#2079)
76102284d1997ef8b876cb40ae7c3e44b6ffbb66 Add Cost Effective Gradient Boosting (#2014)
fe115bbb7215d3cf966ee406a017f208b5610900 [docs] Fix typo in Python-Intro.rst (#2074)
2027f6b485b1b707b774ca6cfbf6142aa71e8665 addressed cpplint error about C-style cast (#2064)
82f803b3df65f840b757b023e661e484ad9ed789 updated gitignore to ignore files created by local python installation (#2061)
572ae4003897c7435999cbc68d0a2c08e503694c [docs] Small aesthetic improvements to RTD docs (#2060)
3c999be3b7bd2bf8e487957cce8c8f9a1ae19b6a fixed cpplint error about spaces and newlines (#2068)
823fc03cc820758fceae91eb33851e1534b65360 Add API method LGBM_BoosterPredictForMats (#2008)
011cc90a770482e835e613fdbcb2ceb9f3adcef2 [python] Use first_metric_only flag for early_stopping function. (#2049)
548fc91e59a21254b4ec6cb59fa4ee006476190f remove warnings
e5e9fbea5e8170d93422ed32a34aff8b31851998 fixed broken link (#2065)
7a89d0054bcf0db9f96af3c53a078b6aa3152efe removed Python 3.4 support (#2051)
babe8b313aad747899a3199fba7bc3eae10e582a removed hotfix (#2054)
beeb6e0fd5812065578be6969f3c82055e0fc957 Added additional APIs to better support JNI on Spark (#2032)
95246cdaec4feb739f3725e3d0fbf2efeb37bc85 lightgbm SWIG Java wrapper changes needed to add early stopping in mmlspark (#2047)
b020a25d3dbfcd9f1128352ca1582abdf67ff87b [ci] compatibility hotfix for notebook execution (#2048)
74ce2cfe9418b0def315c5e17f6244eefac64a60 added examples for multiple custom metrics (#2021)
ffb134cc31cc6ec7a456257fcdae9054ded54559 [python] disabled split value histogram for categorical features (#2045)
7ab94e6bba68d4f75c864503fdb269a70def59e6 [examples] updated tree index with categorical feature (#2044)
8d6666e0ffb7165096753dc392044af18ef2eae6 [python] added get_split_value_histogram method (#2041)
9de526f8acc36f493252c635880bca043e643ae3 Fix typo in GatherInfoForThresholdCategorical (#2040)
5801460a355faaf96ae16d152df7dd8c61202e4e [python] Minor fix: close open file pointer (#2039)
8aa08c4af22705338adba9ffbd61a73b8bc7baad [tests] fixed and refactored some tests (#2035)
219c943dd7983ee006772cf2cff52a1207bc8002 Add ability to move features from one data set to another in memory (#2006)
f9ab5f588d6bbe145b0aacc28c4aa8711f116caf [docs] added notes about params usage when data is provided via path and removed unused param (#2024)
c5cfe3e3e4579a3490989cfac9e6460394fdafee [python] update DataTable handling (#2020)
414bb609c0d8c97091627a77ab49a1647825f1a9 added LightGBM SWIG wrappers for macOS and updated docs (#2002)
7ebf80f8cf8afe2d2dfc76acf422084a8ad594c8 Fix wording (#2015)
a777aedd9d2885d1adbe3ca6c623198dd916aaaa Change variable name test_data > validation_data (#2018)
b447a7bc341d07602f39d664d22f9c09dd09a941 fixed conda (#2016)
5256cda69300d6b83b18180da2992a1e50a6b392 Fix #1988 missing file issue (#2000)
462612b42c6fe7bb1be1ccd8b72d77021b9f2d38 fixed modifiers indent (#1997)
8e286b38a3f597bc7fbe2905b8d71ea20340fe71 update version number at master branch (#1996)

This list of changes was auto generated.</details>

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