Recent Releases of lightgbm

lightgbm - v4.6.0

Changes

💡 New Features

[CUDA] fix setting of CUDA architectures and enable support for NVIDIA Blackwell @StrikerRUS (#6812)
[python-package] support Python 3.13 @jameslamb (#6668)
[GPU] Add support for linear tree with device=gpu @dragonbra (#6567)
[c++] Add Bagging by Query for Lambdarank @shiyu1994 (#6623)

🔨 Breaking

[R-package] require lgb.Dataset, remove support for passing 'colnames' and 'categorical_feature' for lgb.train() and lgb.cv() @jameslamb (#6714)
[python-package] support sub-classing scikit-learn estimators @jameslamb (#6783)
[python-package] do not copy column-major numpy arrays when creating Dataset from list of arrays @jmoralez (#6773)
[python-package] remove support for passing 'featurename' and 'categoricalfeature' through train() and cv() @jameslamb (#6706)
[python-package] require scikit-learn>=0.24.2, make scikit-learn estimators compatible with scikit-learn>=1.6.0dev @vnherdeiro (#6651)
[ci] Require CMake 3.28 and replace FetchContent_Populate with FetchContent_MakeAvailable @StrikerRUS (#6550)

🚀 Efficiency Improvement

[python-package] do not copy column-major numpy arrays when predicting @jmoralez (#6751)
[python-package] do not copy column-major numpy arrays when creating Dataset @jmoralez (#6721)

🐛 Bug Fixes

[python-package] Separately check whether pyarrow and cffi are installed @mlondschien (#6785)
[c++] Fixed Predictor lifecycle and trees initialization in Contrib mode @AndreyOrb (#6778)
[python-package] Infer feature names from pyarrow.Table @mlondschien (#6781)
[python-package] Fix inconsistency in predict() output shape for 1-tree models @RektPunk (#6753)
[fix] resolve potential attack in linker connection building @shiyu1994 (#6752)
[R-package] Avoid bashisms (non-POSIX code) in R-package/configure @smoser (#6746)
[c++] fix paralleltreelearnersplitinfo @moming39 (#6738)
[c++] Fix dump_model() information for root node @neNasko1 (#6569)
[cmake] [R-package] include R-for-macOS vendored libs dir in OpenMP search path (fixes #6628) @jameslamb (#6629)
[R-package] only warn about early stopping and DART boosting being incompatible if early stopping was requested @serkor1 (#6619)
[cmake] fixes static build for macos with OpenMP enabled (fixes #6601) @Mottl (#6600)

📖 Documentation

[docs] update installation guide @StrikerRUS (#6696)
[docs] add note about pyodide support @jameslamb (#6715)
[docs] Remove only cpu note due to gpu support for linear trees @JAroyan (#6686)
[docs] fix inaccurate comment for force_col_wise param with CUDA version @StrikerRUS (#6695)
[docs] group logically external projects in README and add some new libraries @StrikerRUS (#6691)
[docs] use consistent naming for R-package and Python-package across the repo @StrikerRUS (#6655)
[docs] add supertree in README @pplonski (#6625)
[docs] unify language and make small improvements in some param descriptions @StrikerRUS (#6618)
[doc] Updates Rust bindings library link in README.md @Mottl (#6611)
[R-package] [docs] update cran-comments for v4.5.0 release @jameslamb (#6578)
[docs] add conda version badge @StrikerRUS (#6576)

🧰 Maintenance

release v4.6.0 @jameslamb (#6796)
[c++] update to fmt 11.1.2, fastdoubleparser 0.8.0 @jameslamb (#6802)
[ci] fix valgrind workflow @jameslamb (#6816)
[ci] validate pyproject file by json schema @StrikerRUS (#6813)
[ci] [python-package] update pre-commit hooks to latest versions @jameslamb (#6817)
[ci]: Bump release-drafter/release-drafter from 6.0.0 to 6.1.0 in the ci-dependencies group @dependabot[bot] (#6810)
[ci] fix errors about line length in yaml files (Part 4) @StrikerRUS (#6804)
[ci] remove pandas before testing that LightGBM can be imported without extra deps @StrikerRUS (#6801)
[ci] fix errors about comments indentation in yaml files (Part 3) @StrikerRUS (#6794)
[ci] fix errors about indentation in yaml files (Part 2) @StrikerRUS (#6789)
[ci] [python-package] build macOS x86_64 wheels on macOS 13 (Ventura) @jameslamb (#6669)
[ci] add yaml files linter to pre-commit hook but skip some rules for now (Part 1) @StrikerRUS (#6763)
[ci] lock inactive issues and PRs at different time @StrikerRUS (#6764)
[ci][python-package] add testing for the shape of raw score predictions @StrikerRUS (#6765)
[ci] pin more dependencies in Python 3.8 environment @jameslamb (#6771)
[CUDA] remove src/treelearner/kernels @shiyu1994 (#6766)
[python-package] stop relying on string concatenation / splitting for cv() eval results @jameslamb (#6761)
[ci] Add Release Drafter workflow @StrikerRUS (#6754)
[python-package] Rename cvfolds variable into cvbooster in engine.cv function @ClaudioSalvatoreArcidiacono (#6762)
[python-package] simplify eval result printing @jameslamb (#6749)
[ci] fix linkchecker job @jameslamb (#6757)
[ci] remove Docker volumes during Azure cleanup @StrikerRUS (#6760)
[ci] use Ruff linter instead of isort @StrikerRUS (#6755)
[ci] set upper bound on dask @jmoralez (#6742)
[c++] include wherever uint8_t is used @jameslamb (#6736)
[python-package] simplify scikit-learn 1.6+ tags support @jameslamb (#6735)
[ci] Introduce typos pre-commit hook @borchero (#6564)
[ci] [python-package] [R-package] adapt to scikit-learn checksampleweight_equivalence changes, stop testing against R 3.6 on Linux @jameslamb (#6733)
[python-package][R-package] adapt to scikit-learn 1.6 testing changes, pin more packages in R 3.6 CI jobs @jameslamb (#6718)
[ci] [R-package] re-enable 'rchk' checks @jameslamb (#6713)
[ci] check PowerShell scripts with PSScriptAnalyzer (part 3) @StrikerRUS (#6710)
[ci] check JavaScript code with biome tool @StrikerRUS (#6711)
[ci] check PowerShell scripts with PSScriptAnalyzer (part 2) @StrikerRUS (#6709)
[ci] check PowerShell scripts with PSScriptAnalyzer (part 1) @StrikerRUS (#6704)
[ci] [R-package] remove code for 'rchk' checks @jameslamb (#6545)
[ci] Fix version matching between RTD pages and R-package pages @StrikerRUS (#6673)
[python-package] remove MSVS solution files from sdist @jameslamb (#6698)
[ci] set MinimumVisualStudioVersion to MSVS 2015 @StrikerRUS (#6689)
[ci] fix build of LightGBM with MSVS GUI @StrikerRUS (#6690)
[cmake] group sanitizer options together @StrikerRUS (#6688)
[ci] add shellcheck, use latest pre-commit hook versions @jameslamb (#6685)
[ci] fix some shellcheck warnings in package-building scripts @vnherdeiro (#6641)
[python-package] deprecate support for H2O 'datatable' @jameslamb (#6670)
[ci] enable OpenMP support in cpp tests @StrikerRUS (#6676)
[python-package] ignore scikit-learn 'checksampleweight_equivalence' estimator check (fixes #6678) @jameslamb (#6679)
[ci] fix shellcheck warnings in CI scripts @vnherdeiro (#6646)
[ci] Restore MPI jobs on macOS @StrikerRUS (#6664)
[ci] Update CUDA versions for CI @StrikerRUS (#6539)
[ci] replace uses of 'mamba' with 'conda', use Python 12 for test-python-latest-job @jameslamb (#6663)
[cmake] simplify SWIG config @StrikerRUS (#6648)
[ci] [R-package] re-enable R-devel clang16 job (fixes #6607) @jameslamb (#6642)
[cmake] remove unused variable @StrikerRUS (#6647)
[ci] [python-package] temporarily stop testing against scikit-learn nightlies, load lib_lightgbm earlier @jameslamb (#6654)
[ci] prevent C API tests from leaving files behind (fixes #6361) @jameslamb (#6637)
[python-package] limit when numboostround warnings are emitted (fixes #6324) @jameslamb (#6579)
[ci] prevent Python tests from leaving behind files @vnherdeiro (#6626)
fix some shellcheck warnings @vnherdeiro (#6621)
[ci] fix linux runners running out of disk space (fixed #6635) @jameslamb (#6636)
[python-package] remove setup.cfg @jameslamb (#6624)
[cmake] consolidate settargetproperties() calls @jameslamb (#6594)
[ci] prevent train.binary.bin and lgb_train_data.bin files being left behind after testing @bili2002 (#6606)
[ci] update some linting versions @jameslamb (#6598)
[ci] skip R-devel clang16 job and use gcc-12 for macOS Python jobs @jameslamb (#6608)
[python-package] update to scikit-build-core 0.10 @jameslamb (#6597)
[ci] restore nuget artifact creation @StrikerRUS (#6593)
[R-package] [cmake] simplify CMake-based R builds @jameslamb (#6591)
[cmake] stop using file(GLOB) @jameslamb (#6588)
[ci] prevent categorical.model and model.txt files being left behind after testing @neNasko1 (#6590)
[ci] Always use latest SWIG version in Windows CI job @StrikerRUS (#6541)
[ci] place all CI helpers under the .ci folder and use - instead of _ in their names @StrikerRUS (#6581)
[ci] fix MSVC warning about builds in temp directory @StrikerRUS (#6573)
bump development version to 4.5.0.99 @jameslamb (#6575)
[ci] ask pip to always install local artifact but not download package from PyPI @StrikerRUS (#6574)

- C++
Published by guolinke over 1 year ago

lightgbm - v4.5.0

Changes

💡 New Features

[python-package] Add feature_names_in_ attribute for scikit-learn estimators (fixes #6279) @nicklamiller (#6310)
[R-package]: add numtreesperiter, numtrees, and num_iter methods @mayer79 (#6500)

🔨 Breaking

[c++] remove HDFS support (fixes #6436) @jameslamb (#6534)
[ci] [python-package] run macOS x86_64 tests on macOS 12 (Monterey), stop manually setting macOS wheel tags @jameslamb (#6487)

🚀 Efficiency Improvement

Avoid copy on Refit @cbourjau (#6478)

🐛 Bug Fixes

[python-package] Correctly recognize LGBMClassifier(num_class=2, objective="multiclass") as multiclass classification @RektPunk (#6524)
[cmake] Some improvements to handling of OpenMP on macOS @barracuda156 (#6489)
[python-package] respect 'verbose' setting when using custom objective function (fixes #6014) @jameslamb (#6428)
cmake: add missing liblightgbmswig.so to lightgbmlib.jar on linux @shuttie (#6515)

📖 Documentation

[docs] update GitHub Actions badges in README @StrikerRUS (#6570)
[docs] Update badge for Link checks workflow @StrikerRUS (#6568)
[python-package] [docs] Expand class docs for Dataset @Plenitude-ai (#6558)
[docs] fix link to multiple OpenMP issue description @StrikerRUS (#6562)
[docs] Add NuGet version badge @StrikerRUS (#6549)
[docs] remove link to Roadmap (fixes #6556) @jameslamb (#6557)
[docs] remove outdated docs from the repo @StrikerRUS (#6552)
[docs] Add conda downloads badge @StrikerRUS (#6546)
[docs] update and simplify installation docs @jameslamb (#6536)
[doc] fix documentation for quantized training @shiyu1994 (#6528)
[docs] fix FAQ markdown @StrikerRUS (#6521)
[docs] [R-package] update cran-comments.md @jameslamb (#6499)
[docs] remove pmml redirect, simplify some other docs @jameslamb (#6490)

🧰 Maintenance

release v4.5.0 @jameslamb (#6538)
[ci] modify CodeQL settings @jameslamb (#6563)
[ci] revert clang-18 LDLIBRARYPATH workaround @jameslamb (#6559)
[ci] [R-package] help linker find libstdc++.so.1 in clang18 job (fixes #6553) @jameslamb (#6554)
[ci] update codeowners @jameslamb (#6542)
[ci] [R-package] use --no-xattrs when re-tarring CRAN-style package @jameslamb (#6540)
[ci] [R-package] add CI jobs covering more CRAN "additional checks", fix RNOREMAP warnings (fixes #6369) @jameslamb (#6523)
[ci] [R-package] add arm64 macOS R-package CI job (fixes #6481) @jameslamb (#6494)
[ci] restore aarch64 linux builds (fixes #6509) @jameslamb (#6527)
[test][python] fix pandas DeprecationWarning about is_sparse function @StrikerRUS (#6532)
fix cpp casting errors "Comparison of narrow type with wide type in loop condition" @StrikerRUS (#6533)
[python-package] avoid overwriting dependencies via 'build-python.sh install' @jameslamb (#6526)
[tests][python] fix nan in pandas bool column @StrikerRUS (#6530)
Remove template parameters from copy constructor @hgminh95 (#6514)
[ci] prevent lgb.model and lgb.pkl files being left behind after testing @nicklamiller (#6518)
[ci] [R-package] run 'R CMD check' as a foreground task @jameslamb (#6508)
[CMake] Use CMAKEMSVCRUNTIME_LIBRARY to apply /MT @hcho3 (#6484)
[ci] resolve shellcheck errors in .ci/checkpythondists.sh @Kunal-Singh-Dadhwal (#6503)
[ci] skip aarch64 linux job @jameslamb (#6517)
[R-package] Use Rf_-prefixed versions of protect/unprotect @david-cortes (#6502)
[ci] reduce repetition of BUILD_DIRECTORY in CI scripts @jameslamb (#6497)
[ci] remove OpenMP / MKL workaround in CI jobs @jameslamb (#6496)
[ci] [docs] fix link-checks job @jameslamb (#6495)
[python-package] Change build settings to set strict-config to false @Jorricks (#6493)
[ci] remove unnecessary package installations in CI @jameslamb (#6488)
chore: update dataset_loader.cpp @eltociear (#6483)
bump development version to 4.4.0.99 @jameslamb (#6485)

- C++
Published by guolinke almost 2 years ago

lightgbm - v4.4.0

Changes

💡 New Features

[ci] [python-package] add arm64 macOS wheels @jameslamb (#6391)
[python-package] Add support for NumPy 2.0, test against nightly versions of dependencies (fixes #6454) @jameslamb (#6467)
[R-package] expose start_iteration to dump/save/lgb.model.dt.tree @mayer79 (#6398)
[python-package] Allow to pass early stopping min delta in params @borchero (#6274)
[python-package] Allow to pass Arrow table with boolean columns to dataset @borchero (#6353)
[c++][fix] Support Quantized Training with Categorical Features on CPU @shiyu1994 (#6301)

🔨 Breaking

[python-package] remove uses of deprecated NumPy random number generation APIs, require 'numpy>=1.17.0' @jameslamb (#6468)
[python-package] drop Python 3.6 support, add Python 3.12 @jameslamb (#6459)
[cmake] [c++] use .dylib extension unconditionally on macOS @jameslamb (#6418)
ENH more stable gradient of CrossEntropy @lorentzenchr (#6327)
[R-package] Rename slice() to lgb.slice.Dataset() @david-cortes (#6293)

🚀 Efficiency Improvement

[R-package] Use ALTREP system to return C++-allocated arrays @david-cortes (#6213)
[R-package] Speed-up lgb.importance() @mayer79 (#6364)
Fix single row prediction performance in a multi-threaded environment @Ten0 (#6024)

🐛 Bug Fixes

[R-package] ensure use of interaction_constraints does not lead to features being ignored @mayer79 (#6377)
[R-package] skip integer categorical feature check when building dataset subset (fixes #6412) @jmoralez (#6442)
[cmake] always target Windows SDK v10.x when using Visual Studio generators (fixes #6448) @jameslamb (#6451)
upgrade CMake in dockerfile-cli (fixes #6420) @narumiruna (#6426)
remove unnecessary omp single that cause deadlock (fixes #6273) @morokosi (#6394)
[python-package] allow use of earlystoppinground<=0 to turn off early stopping (fixes #6401) @ddelzell (#6406)
[c++] Fix memory leak in Arrow table implementation @borchero (#6314)
Fix calculation of number of bins in FindGroup @CVPaul (#6019)

📖 Documentation

[docs] ensure pkgdown site index accurately reflects R-package public API (fixes #6444) @jameslamb (#6445)
[docs] document how to use a custom objective function via the C API @parsiad (#6396)
[docs] [ci] encourage use of cmake --build @jameslamb (#6368)
[docs] remove language about CUDA version being experimental (fixes #6340) @jameslamb (#6371)

🧰 Maintenance

release v4.4.0 @jameslamb (#6439)
[python-package] add a few type hints in LGBMModel.fit() @jameslamb (#6470)
[python-package] clarify max_depth warning and limit when it is emitted @jameslamb (#6402)
[ci] upgrade linters to latest version @jameslamb (#6472)
[ci] [R-package] add new linters from {lintr} 3.1.1 @jameslamb (#6471)
[python-package] make LGBMDeprecationWarning inherit from FutureWarning @jameslamb (#6447)
[ci] further simplify CI configurations @jameslamb (#6463)
[ci] fix CUDA 11.8 builds (fixes #6466) @jameslamb (#6465)
[ci] simplify CI configurations, parallelize compilation, test CUDA on Ubuntu 22.04 @jameslamb (#6458)
[ci]: Bump actions/checkout from 1 to 4 in the ci-dependencies group @dependabot (#6453)
[cmake] switch to FindCUDAToolkit @characat0 (#6457)
[R-package] [python-package] deprecate Dataset arguments to cv() and train() @jameslamb (#6446)
[ci] Add dependabot configuration @borchero (#6449)
[python-package] upgrade to scikit-build-core 0.9.3 @jameslamb (#6263)
deprecate HDFS support @jameslamb (#6443)
[c++] remove uses of '..' in headers @jameslamb (#6409)
[R-package] always name the shared library 'lightgbm', not 'lib_lightgbm' @jameslamb (#6432)
[R-package] [ci] Manually install 'Matrix' (fixes #6433) @jameslamb (#6434)
[ci] Skip Arrow tests on AppVeyor, use Intel macOS runners, upgrade to XCode 14.3 on macOS jobs, disable MacOS MPI jobs @borchero (#6425)
[ci] raise floors on CI dependencies @jameslamb (#6375)
[ci] make shell scripts stricter @jameslamb (#6266)
[python-package] prevent build-python.sh from modifying already-installed dependencies @jameslamb (#6403)
[ci] reduce hard-coding of host architecture @jameslamb (#6395)
[c++] remove unused variable 'needconnectcnt' @jameslamb (#6410)
[ci] clean source directory at the beginning of every Azure DevOps build @jameslamb (#6416)
[ci] Fix Azure Pipeline Agents @shiyu1994 (#6407)
[ci] [R-package] re-enable r-sanitizers jobs (fixes #6367) @jameslamb (#6374)
[ci] prevent trailing whitespace, ensure files end with newline @jameslamb (#6373)
[ci] [docs] update some docs and CI dependencies @jameslamb (#6346)
[ci] [python-package] remove unused flake8 configuration @jameslamb (#6372)
[ci] put ceiling on graphviz in Python 3.7 jobs @jameslamb (#6370)
[ci] Fix R 3.6 tests, dask tests, compatibility with dask>=2024.3.1 @borchero (#6357)
[ci] [python-package] check for untyped definitions with mypy @jameslamb (#6339)
[ci] ignore ruff-format changes in git blame (fixes #6304) @jameslamb (#6345)
[c++] remove unnecessary include in CLI @jameslamb (#6342)
[ci] [python-package] enable ruff-format on all Python code @jameslamb (#6336)
[python-package] remove unused type alias @jameslamb (#6341)
[ci] [python-package] enforce 'pylint' checks (fixes #4308) @jameslamb (#6334)
[ci] [python-package] enable ruff-format on tests and examples @jameslamb (#6317)
[python-package] fix mypy error about pyarrow data @jameslamb (#6333)
[ci] remove unnecessary workarounds in R-package macOS jobs @jameslamb (#6331)
[ci] remove workflow_dispatch from no-response configuration @jameslamb (#6330)
[ci] fix no-response permissions @jameslamb (#6323)
[ci] enable ruff-format on some files, add pre-commit config @jameslamb (#6308)
[ci] ensure shell script exit codes are in range 0-255 @jameslamb (#6305)
[ci] fix installation of clang-18 (fixes #6306) @jameslamb (#6307)
[ci] [R-package] pin to older setup-pandoc for R 3.6 jobs (fixes #6298) @jameslamb (#6299)
bump development version to 4.3.0.99 @jameslamb (#6287)

- C++
Published by guolinke about 2 years ago

lightgbm - v4.3.0

Changes

💡 New Features

[CUDA] Add arch=8.9 to CUDA_ARCHS for RTX 40XX @DmitryUlyanov (#6272)

🔨 Breaking

[cmake] [c++] require CMake 3.18+ @jameslamb (#6260)
[R-package] remove readRDS.lgb.Booster() and saveRDS.lgb.Booster() @jameslamb (#6246)

🚀 Efficiency Improvement

[R-package] Remove non-beneficial parallelization @david-cortes (#6209)

🐛 Bug Fixes

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

📖 Documentation

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

🧰 Maintenance

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

- C++
Published by guolinke over 2 years ago

lightgbm - v4.2.0

✨ v4.2.0 of the R package is now available on CRAN (link), the first major release of the R package in 2+ years.

✨ The Python package now accepts Apache Arrow Tables and Arrays (thanks @borchero!)

🔧 A critical bug in quantized training support is fixed

Changes

💡 New Features

[python-package] Allow to pass Arrow table for prediction @borchero (#6168)
[python-package] Allow to pass Arrow table and array as init scores @borchero (#6167)
[python-package] Allow to pass Arrow array as groups @borchero (#6166)
[python-package] Allow to pass Arrow array as weights @borchero (#6164)
[python-package] Accept numpy generators as random_state @david-cortes (#6174)
[python-package] Allow to pass Arrow array as labels @borchero (#6163)
[python-package] Allow to pass Arrow table as training data @borchero (#6034)

🔨 Breaking

[python-package] fix access to Dataset metadata in scikit-learn custom metrics and objectives @jameslamb (#6108)
[CUDA] drop CUDA 10 support, start supporting CUDA 12 (fixes #5789) @jameslamb (#6099)

🚀 Efficiency Improvement

[R-package] Fix inefficiency in retrieving pointers @david-cortes (#6208)
[CUDA] CUDA Quantized Training (fixes #5606) @shiyu1994 (#5933)

🐛 Bug Fixes

fix errors from MSVC '/permissive-' mode (fixes #6230) @Zhaojun-Liu (#6232)
[R-package] [c++] add tighter multithreading control, avoid global OpenMP side effects (fixes #4705, fixes #5102) @jameslamb (#6226)
[python-package] take shallow copy of dataframe in predict (fixes #6195) @jmoralez (#6218)
Fix null handling for Arrow data @borchero (#6227)
[R-package] use safer pattern for error formatting (fixes #6212) @jameslamb (#6216)
[python-package] fix libpath.py @shiyu1994 (#6192)
set explicit number of threads in every OpenMP parallel region @jameslamb (#6135)
ignore unknown parameters when loading from model file @jmoralez (#6126)
[python-package] [R-package] include more params in model text representation (fixes #6010) @jameslamb (#6077)
[fix] fix quantized training (fixes #5982) (fixes #5994) @shiyu1994 (#6092)
[python-package] Fix misdetected objective after multiple calls to LGBMClassifier.fit @david-cortes (#6002)

📖 Documentation

[docs] remove links to Laurae++ site @jameslamb (#6193)
[docs] reduce redirects in docs links @jameslamb (#6181)
[docs] fix broken links @jameslamb (#6161)

🧰 Maintenance

release v4.2.0 @jameslamb (#6191)
[ci] [R-package] allow more possibly-lost warnings from valgrind @jameslamb (#6233)
[ci] Upgrade Azure VMSS to use Mariner Linux @shiyu1994 (#6222)
Add msvc conformance check @Zhaojun-Liu (#6234)
[python-package] Add tests for passing Arrow arrays with empty chunks @borchero (#6210)
[R-package] change CRAN maintainer @jameslamb (#6224)
[CUDA] fix typo in error message @jameslamb (#6207)
[python-package] ignore mypy errors related to ctypes string buffers @jameslamb (#6198)
[python-package] consolidate pandas-to-numpy conversion code @jameslamb (#6156)
[R-package] standardize naming of internal functions @jameslamb (#6179)
[R-package] remove unreachable code @jameslamb (#6180)
allow new files in include/LightGBM @jameslamb (#6177)
[R-package] Use cat() instead of print() for metrics and callbacks @david-cortes (#6171)
[ci] resolve warning in tests @jameslamb (#6154)
[ci] use mamba instead of conda in macOS and Linux CI jobs @borchero (#6140)
factor out uses of ompgetnumthreads() and ompgetmaxthreads() outside of OpenMP wrapper @jameslamb (#6133)
remove unnecessary allocations in HistogramSumReducer @jameslamb (#6132)
[ci] [R-package] enforce more {lintr} checks @jameslamb (#6130)
fix compiler warnings for CPP tests @jameslamb (#6124)
[ci] [R-package] test against R 4.3 on Windows @jameslamb (#6061)
[python-package] reorganize early stopping callback @jameslamb (#6114)
[python-package] simplify Dataset.compareparamsforwarning() @jameslamb (#6120)
[ci] fix sh-compatibility issue in build-cran-package.sh @jameslamb (#6118)
[python-package] remove unnecessary allocations in ctypes code @jameslamb (#6111)
[python-package] fix mypy errors in Dataset construction @jameslamb (#6106)
[ci] ensure correct R version is used on GitHub Actions (fixes #5640) @jameslamb (#6107)
[python-package] fix mypy error about eval result tuples @jameslamb (#6105)
[python-package] fix mypy error from Dataset.pandas_categorical @jameslamb (#6098)
[ci] Fix typo in dependencies @borchero (#6100)
[python-package] fix mypy errors related to eval result parsing in callbacks @jameslamb (#6096)
[python-package] mark EarlyStopException as part of public API @jameslamb (#6095)
[python-package] fix mypy errors related to eval result tuples @jameslamb (#6097)
update to fmt 10.1.1, fastdoubleparser 0.7.0 @jameslamb (#6074)

- C++
Published by guolinke over 2 years ago

lightgbm - v4.1.0

Changes

💡 New Features

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

🐛 Bug Fixes

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

📖 Documentation

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

🧰 Maintenance

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

Note

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

- C++
Published by guolinke almost 3 years ago

lightgbm - v4.0.0

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 https://github.com/pypa/pip/issues/11358)
  - see https://github.com/microsoft/LightGBM/blob/master/python-package/README.rst for new patterns
  - see https://github.com/pypa/pip/issues/11358 and #5061 for background
- dropped support for installation with MSBUild.exe ... that now requires compiling lib_lightgbm.dll separately and then building a wheel that bundles it
R package:
- dropped support for Solaris
- removed most support for passing parameters through ...
- removed lgb.unloader()
- switched to predict(newdata, type = ...) in predict(), for consistency with base R and most other machine learning projects

💡 New Features

[python-package] add 'pandas' extra @jameslamb (#5937)
[CUDA] Add more CUDA Regression Metrics @Xuweijia-buaa (#5924)
[python-package] adding maxcategoryvalues parameter to createtreedigraph 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.setleafoutput 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 cudaexp and refactor objective functions for cudaexp @shiyu1994 (#5486)
[CUDA] Add multiclassova objective for cudaexp @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 rankxendcg objective for cudaexp @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 evaltrainmetric 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 manylinux228 for Linux artifacts (fixes #5514, fixes #5589) @jameslamb (#5580)
fix: Adjust LGBM_DatasetCreateFromSampledColumn to handle distributed data @svotaw (#5344)
[python-package] allow custom weighing in fobj for scikit-learn API (closes #5027) @jmoralez (#5211)
[R-package] Use type argument to control prediction types @david-cortes (#5133)
[python-package] Use scikit-learn interpretation of negative n_jobs and change default to number of cores @david-cortes (#5105)
[python-package] remove Booster.set_attr() and Booster.attr() @jameslamb (#5272)
remove support for Solaris (fixes #5216) @jameslamb (#5226)
[R-package] stop automatically calculating eval metrics on training data in lightgbm() @jameslamb (#5209)
[R-package] remove lgb.unloader() @jameslamb (#5204)
[python-package] remove 'fobj' in favor of passing custom objective function in params @TremaMiguel (#5052)
[python-package] remove is_reshape argument in Booster.predict (fixes #5115) @jmoralez (#5117)
[R-package] Remove reshape argument in predict @david-cortes (#4971)
[R-package] Promote number of threads to top-level argument in lightgbm() and change default to number of cores @david-cortes (#4972)
[R-package] Rename data -> newdata in predict @david-cortes (#4973)
Build Windows artifacts in windows-2019 image instead of vs2017-win2016 @StrikerRUS (#5059)
[python-package] use 2d collections for predictions, grads and hess in multiclass custom objective @jmoralez (#4925)
[R-package] prefer params to keyword argument in lgb.train() @jameslamb (#5007)
[R-package] remove behavior where lightgbm() saves model to disk @david-cortes (#4974)
[python-package] make record_evaluation compatible with cv (fixes #4943) @jmoralez (#4947)
[python] remove early_stopping_rounds argument of train() and cv() functions @StrikerRUS (#4908)
[python] remove evals_result argument of train() function @StrikerRUS (#4882)
[python][sklearn] do not replace empty dict with None for evals_result_ @StrikerRUS (#4884)
[python] Drop Python 3.6 support @StrikerRUS (#4891)
[python] remove verbose_eval argument of train() and cv() functions @StrikerRUS (#4878)
[python] remove verbose argument of model_from_string() method of Booster class @StrikerRUS (#4877)
[python][sklearn] Remove early_stopping_rounds argument of fit() method @StrikerRUS (#4846)
[R-package] remove support for '...' in slice() @jameslamb (#4872)
[R-package] remove support for '...' in lgb.Dataset() @jameslamb (#4874)
[R-package] remove support for '...' in dim.lgb.Dataset() @jameslamb (#4873)
[R-package] remove support for '...' in lgb.train() @jameslamb (#4863)
[R-package] remove support for '...' in create_valid() @jameslamb (#4865)
[R-package] remove support for 'info' in Dataset @jameslamb (#4866)
[R-package] remove Dataset getinfo() @jameslamb (#4864)
[R-package] remove support for '...' in lgb.cv() @jameslamb (#4860)
[R-package] remove Dataset setinfo() @jameslamb (#4854)
[R-package] remove support for '...' in predict() @jameslamb (#4857)
[R-package] remove support for '...' in Booster reset_parameter() @jameslamb (#4856)
[python][sklearn] unify values of best_iteration for sklearn and standard APIs @StrikerRUS (#4845)
[ci] migrate CI from macOS 10.14 to 10.15 and drop support of Mojave @StrikerRUS (#4849)
[R-package] enable saving Booster with saveRDS() and loading it with readRDS() (fixes #4296) @david-cortes (#4685)
[python][sklearn] remove verbose argument from fit() method @StrikerRUS (#4832)
[python] remove learning_rates argument of train() function @StrikerRUS (#4831)
[python] remove "auto" value of ylabel argument of plot_metric() function @StrikerRUS (#4818)
[python] Remove print_evaluation() function @StrikerRUS (#4819)
[python] Remove silent argument @StrikerRUS (#4800)

🚀 Efficiency Improvement

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

🐛 Bug Fixes

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

📖 Documentation

[docs] fix broken link to contributor GitHub account @jameslamb (#5959)
[docs] add versionadded notes for v4.0.0 features @jameslamb (#5948)
[docs] Add scikit-learn for intersphinx (fixes #5954) @thomasjpfan (#5956)
[docs] more fixes for broken links @jameslamb (#5941)
[docs] remove outdated information in Python install docs @jameslamb (#5938)
[docs] fix broken links in docs @jameslamb (#5939)
[docs] add quantized training paper to docs @jameslamb (#5923)
[docs] Update Quick Start @jaceklaskowski (#5900)
[docs] recommend a more efficient source installation of the python package @jameslamb (#5881)
adjusted bagging_freq parameter description @moziada (#5698)
[docs] remove unnecessary interactivity in 'docker run' instructions @jameslamb (#5692)
[docs] [R-package] mention {bonsai} in the docs @jameslamb (#5652)
[docs] encourage use of releases for GUI-only installations @jameslamb (#5649)
[docs] update CPU dockerfiles (fixes #5550) @jameslamb (#5601)
[docs] update cran-comments.md for v3.3.4 release @jameslamb (#5646)
[docs] add postgresml to list of external repos @jameslamb (#5565)
[docs] Improve docs: fix consistency of dots in C API and add notes about new time-costs Python-package build option @StrikerRUS (#5554)
[R-package] [docs] use CRAN canonical form for package links @jameslamb (#5504)
[docs] Fix link to Optuna's LightGBMTuner example @knshnb (#5519)
[docs]fix a typo in docs/Features.rst @JiantingFeng (#5463)
Use ROC-AUC metric for classification model in examples @Green-16 (#5440)
[docs] Fix links @StrikerRUS (#5451)
[R-package] Fix docstrings for predict functions @StrikerRUS (#5444)
[R-package] [docs] clarify shape of predictions @jameslamb (#5384)
[python-package] Improve readme on experimental cuda usage @thomasaarholt (#5386)
[docs] [R-package] document how to regenerate roxygen docs @jameslamb (#5382)
[R-package] [docs] fix typo in documentation on init_model @sebffischer (#5379)
[docs] [R-package] upgrade to roxygen2 7.2.1 @jameslamb (#5381)
[ci] make check-docs job compatible with rstcheck 6.x @jameslamb (#5388)
[docs][python] Fix return types in docstrings @StrikerRUS (#5326)
[docs] set language = 'en' in Sphinx config @jameslamb (#5322)
[R-package] [docs] document difference between lightgbm() and lgb.train() (fixes #5203) @jameslamb (#5273)
[docs] Use https links in docs @StrikerRUS (#5284)
[R-package] [docs] upgrade docs to roxygen2==7.2.0 @jameslamb (#5251)
[docs] Update broken links in docs @StrikerRUS (#5265)
[docs] add Microsoft security policy (fixes #5235) @jameslamb (#5264)
[R-package] update roles in DESCRIPTION @StrikerRUS (#5192)
[docs] Fix formula in path smoothing docs (fixes #5139) @samFarrellDay (#5154)
[docs] Document behaviour of the first linear estimator @Pablo-Davila (#5132)
[docs] use 'docker run --rm' in valgrind instructions @jameslamb (#5127)
[docs] use 'docker run --rm' in autoconf instructions @jameslamb (#5125)
[docs] Improve rendering of class properties in docs @StrikerRUS (#5078)
[python-package][docs] Booster eval methods accept list of callables @TremaMiguel (#5054)
[docs] update categorical feature description in Advanced Topics @StrikerRUS (#5044)
Correct documentation for sparse predictions @david-cortes (#4979)
[docs][R-package] Use direct link for the list of supported objectives @StrikerRUS (#5029)
[Docs] Weights non-negative for train data @TremaMiguel (#5013)
[docs] improve docs for sklearn wrapper @StrikerRUS (#5026)
[docs] clarify that categorical features will be converted to integers internally @jmoralez (#4959)
[docs] clarify that custom eval functions are not only used on training data @jameslamb (#5011)
[docs] document rounding behavior of floating point numbers in categorical features @StrikerRUS (#5009)
Change docs for feval @akshitadixit (#5002)
[docs] document conda-forge channel preference over default one and describe possible workaround for OpenMP conflicts in FAQ @StrikerRUS (#4994)
Add Nyoka to README @StrikerRUS (#4992)
[docs] minor docs improvements @StrikerRUS (#4938)
[R-package] [docs] fix calculation of R test coverage (fixes #4919) @jameslamb (#4922)
[docs] Update link to FLAML code example @qingyun-wu (#4892)
[R-package] [docs] add Michael Mayer to DESCRIPTION @jameslamb (#4867)
[docs] document that pred_early_stop can be used only in normal and raw scores prediction @StrikerRUS (#4823)
[R-package] [docs] add intro vignette (#3946) @jameslamb (#4775)
[docs] fix broken SynapseML link @StrikerRUS (#4795)
[docs] [dask] Add return information to Dask fit() docs (fixes #4402) @jameslamb (#4716)
[docs] add specific estimator names to sklearn fit() docs @jameslamb (#4774)
[docs] [R-package] update cran-comments for v3.3.1 release @jameslamb (#4738)
[ci] only use conda-forge when installing R packages in docs builds @jameslamb (#4767)
[docs] improve docs about nthreads parameter @StrikerRUS (#4756)
[docs] update link to LightGBM Ruby @StrikerRUS (#4740)
[docs] fix broken SynapseML link @jameslamb (#4712)

🧰 Maintenance

[c++] virtual destructor for gradient discretizer @shiyu1994 (#5965)
[python-package] avoid datahasheader check in predict() @jameslamb (#5970)
[ci] [python-package] Add CI job testing compatibility with oldest possible versions @jameslamb (#5936)
[ci] add Python 3.11 test coverage @jameslamb (#5922)
[ci] increase valgrind timeout to 6 hours @jameslamb (#5953)
[python-package] ignore pip cache dir in build-python.sh @jameslamb (#5945)
[ci] remove brew update-reset again (fixes #5670) @jameslamb (#5925)
[python-package] ensure 'build-python.sh' always reinstalls (fixes #5906) @jameslamb (#5907)
[python-package] remove unnecessary Boost files from sdists @jameslamb (#5912)
[ci] stop relying on cran.microsoft.com in CI jobs @jameslamb (#5909)
[ci] use an MRAN snapshot for R 3.6 Linux jobs (fixes #5898) @jameslamb (#5903)
[ci] [python-package] use ruff, enforce flake8-bugbear and flake8-comprehensions checks @jameslamb (#5871)
[ci] [python-package] fix mypy errors in sklearn.py @jameslamb (#5886)
Add SWIG byte pointers @svotaw (#5832)
[ci] [python-package] fix mypy error in Dataset.setcategoricalfeature() @jameslamb (#5883)
[ci] fix wheel renaming in test.sh @jameslamb (#5877)
[ci] [python-package] tell mypy 'auto' has a special meaning for featurename and categoricalfeature @jameslamb (#5874)
[ci] [python-package] move tool configuration to pyproject.toml @jameslamb (#5872)
[ci] use Python 3.11 in linting CI job @jameslamb (#5873)
[ci] use lowercase library names in linker flags @characat0 (#5870)
[ci] minor fixes to build-python.sh @jameslamb (#5869)
[ci] [python-package] resolve remaining mypy errors in dask.py @jameslamb (#5858)
[ci] [python-package] check distributions with pydistcheck @jameslamb (#5838)
[ci] remove R 3.6 macOS CI jobs @jameslamb (#5859)
[ci] [python-package] fix mypy errors about Dataset.setinitscoreby_predictor() @jameslamb (#5850)
[python-package] [ci] fix mypy errors in Booster._innerpredict() @jameslamb (#5852)
[ci] [python-package] fix mypy errors in Booster.refit() @jameslamb (#5853)
[ci] add tests on cv() with an init_model @jameslamb (#5851)
[ci] [python-package] fix mypy error about dask.predictpart() @jameslamb (#5849)
[ci] [python-package] fix mypy error about return_cvbooster in cv() @jameslamb (#5845)
[python-package] move validation up earlier in cv() and train() @jameslamb (#5836)
[python-package] remove default arguments in internal functions @jameslamb (#5834)
[python-package] fix mypy error about used_indices in Dataset.subset() @jameslamb (#5833)
[ci] put a temporary ceiling on pip @jameslamb (#5835)
[ci] [dask] fix mypy errors about predict() signature @jameslamb (#5827)
[python-package] fix mypy error in Dataset._initfromlistnp2d() @jameslamb (#5826)
[ci] [python-package] fix mypy errors in cv() @jameslamb (#5828)
[python-package] [docs] complete type annotations for scikit-learn fit() methods @jameslamb (#5816)
[ci] remove pin on tinytex in R CI jobs @jameslamb (#5821)
[ci] moving linting into small scripts (fixes #5142) @jameslamb (#5809)
[python-package] add more type annotations in basic.py @jameslamb (#5812)
[python-package] add type annotations on some array methods in basic.py @jameslamb (#5813)
[python-package] add type annotations on Booster.treestodataframe() inner functions @jameslamb (#5811)
[python-package] fix type annotations for eval result tracking @jameslamb (#5793)
[python-package] fix mypy error in Booster.getsplitvalue_histogram() @jameslamb (#5794)
[python-package] fix mypy errors about early stopping rounds @jameslamb (#5795)
[python-package] fix mypy errors about custom eval and metric functions @jameslamb (#5790)
[python-packages] [docs] add type hints and define 'array-like' for X, y, group in scikit-learn interface @jameslamb (#5757)
remove unused variables from bin.cpp @jmoralez (#5801)
[ci] fix LaTeX tools installation in R jobs (fixes #5802) @jameslamb (#5807)
[python-package] fix mypy errors about scikit-learn properties @jameslamb (#5788)
[python-package] add hint on dtypes in Dataset.set_field() @jameslamb (#5787)
[python-package] replace uses of scipy.sparse.issparse() with isinstance() @jameslamb (#5784)
[python-package] fix mypy error about cpu_count() methods @jameslamb (#5786)
[python-package] fix mypy errors about Dataset.params @jameslamb (#5780)
[python-package] ignore some mypy errors in _DaskLGBMModel @jameslamb (#5774)
[python-package] fix mypy errors about ctypes pointers @jameslamb (#5779)
[python-package] fix mypy error about dask.HostWorkers.eq_() @jameslamb (#5782)
[python-package] fix mypy errors about validation sets in sklearn.py @jameslamb (#5724)
[python-package] fix mypy errors about missing annotations and incompatible types @IdoKendo (#5672)
[python-package] add type hints on sklearn properties @jameslamb (#5771)
[python-package] add type hints for functions accepting dtypes @jameslamb (#5773)
[ci] isolate capitest library-loading from Python source tree @jameslamb (#5761)
[python-package] [dask] add type annotations on dask._HostWorkers @jameslamb (#5766)
[python-package] [dask] fix mypy errors about Dask fit() return types @jameslamb (#5756)
[python-package] use keyword arguments in predict() calls @jameslamb (#5755)
[python-package] add type hints on label @jameslamb (#5754)
[python-package] add type hints on group, init_score, and weight @jameslamb (#5753)
[python-package] add type hints on raw data passed to Dataset and Booster @jameslamb (#5752)
[python-package] add type hints on featurename and categoricalfeature in sklearn interface @jameslamb (#5747)
[python-package] add type hints on fit() return and callbacks in sklearn.py @jameslamb (#5748)
[python-package] add type hints on Booster predict() methods @jameslamb (#5749)
[python-package] add more type hints in basic.py @jameslamb (#5729)
[python-package] fix mypy error about ctypes array creation @jameslamb (#5726)
[python-package] add type hints on Dataset feature processing @jameslamb (#5745)
[ci] speed up conda setup for macOS and Linux jobs @jameslamb (#5743)
[python-package] remove default values in internal functions @jameslamb (#5730)
[python-package] use _DatasetHandle type hint @jameslamb (#5740)
[ci] skip Dask tests on GPU builds @jameslamb (#5741)
[python-package] fix LGBMCustomMetricFunction typing @Deimos357 (#5736)
[python-package] fix mypy errors about Dataset handle @jameslamb (#5722)
[python-package] fix mypy errors about cv() internals @jameslamb (#5725)
[python-package] change types in sklearn.py initializations @jameslamb (#5718)
[python-package] [dask] fix mypy errors regarding predict_proba @IdoKendo (#5728)
[python-package] fix mypy errors about custom eval functions in sklearn.py @jameslamb (#5721)
[python-package] fix mypy error about log callback @jameslamb (#5720)
[python-package] fix mypy errors around eval metrics in sklearn.py @jameslamb (#5719)
[python-package] fix mypy errors about _InnerPredictor @jameslamb (#5714)
[dask] fix mypy errors about padded eval_results @jameslamb (#5716)
[python-package] fix mypy errors in compat.py and libpath.py @jameslamb (#5711)
[python-package] add more type hints in sklearn.py @jameslamb (#5710)
[python-package] add type hints on plotting code @jameslamb (#5708)
[ci] [python-package] enforce 'twine check' and 'check-wheel-contents' on Python distributions @jameslamb (#5707)
[python-package] declare the use of inline type hints @jameslamb (#5709)
[python-package] remove some inner function definitions @jameslamb (#5704)
[python-package] add more type hints @jameslamb (#5694)
[ci] restore flake8 checks @jameslamb (#5703)
[python-package] Fix mypy errors for fit() incompatible signature @IdoKendo (#5679)
[R-package] discourage use of regex for fixed string comparisons @jameslamb (#5685)
[ci] get clang-15 from bookworm repository (fixes #5688) @jameslamb (#5689)
[ci] speed up conda setup for some jobs @jameslamb (#5668)
bump development version to v3.3.5.99 @jameslamb (#5681)
[python-package] Fix mypy errors for predict() method @IdoKendo (#5678)
[python-package] fix mypy errors for eval_at and basic @IdoKendo (#5674)
[ci] [python-package] enforce flake8 checks (fixes #5566) @jameslamb (#5659)
[python-package] remove Dataset.feature_penalty @jameslamb (#5656)
[ci] fix brew errors in R macOS jobs (fixes #5670) @jameslamb (#5671)
[ci] run r-package Linux jobs in containers @jameslamb (#5638)
[ci][dask][gpu] Run Dask tests with LightGBM GPU version @jgiannuzzi (#5292)
[python-package] prefix internal objects with '_' @jameslamb (#5654)
[ci] speed up Windows jobs (fixes #5647) @jameslamb (#5648)
[ci] automatically cancel GitHub Actions runs for outdated commits @jameslamb (#5651)
[ci][dask][gpu] Run Dask tests with LightGBM GPU version @jgiannuzzi (#5292)
[python-package] prefix internal objects with '_' @jameslamb (#5654)
[ci] speed up Windows jobs (fixes #5647) @jameslamb (#5648)
[ci] automatically cancel GitHub Actions runs for outdated commits @jameslamb (#5651)
[ci] use LightGBM CI image for building aarch64 wheels (fixes #5595) @jameslamb (#5622)
[ci] allow ubuntu-latest to float for some GitHub Actions jobs @jameslamb (#5644)
[ci] fix locale-setting in jobs running in ubuntu container @jameslamb (#5643)
[ci] make GitHub Actions branch protection stricter (fixes #5501) @jameslamb (#5645)
[ci] Use Ubuntu 22.04 as ubuntu-latest at CI (fixes #5186) @StrikerRUS (#5288)
[tests][python-package] remove remaining tests using load_boston (fixes #4793) @jmoralez (#5581)
[python-package] prefix cintarray and cfloatarray with _ @OmarManzoor (#5614)
[ci] test against R 4.2.2 @jameslamb (#5621)
[python-package] prefix basic.convertfromsliced_object with _ @OmarManzoor (#5613)
[ci] detect non-default dynamic symbols in checkdynamicdependencies.py @jameslamb (#5610)
[ci] add docs and specific error messages in checkdynamicdependencies.py @jameslamb (#5582)
[ci] update versions of GitHub Actions @jameslamb (#5590)
[swig] switch to SWIGADDLIBRARY() in CMakeLists.txt (fixes #5586) @shogohida (#5603)
[ci] switch from MiKTeX to tinytex on Windows R jobs (fixes #5600) @jameslamb (#5602)
[python-package] prefix several internal functions with _ @Madnex (#5545)
[python-package] remove unused imports @jameslamb (#5559)
[ci] prefer CPython in Linux and macOS test environment @StrikerRUS (#5555)
[docs] bump development version to 3.3.3.99 @jameslamb (#5533)
[ci] upgrade macOS_regular job to Python 3.9 (fixes #5569) @jameslamb (#5570)
[tests] Fix cpp streaming data tests @StrikerRUS (#5481)
[python-package] prefix isnumpycolumn_array with _ @Madnex (#5531)
renamed curcat => curcat_idx and added some comments @zyxue (#5522)
[python-package] prefix castnumpyarraytodtype with _ @Madnex (#5532)
suppress alias warnings with verbosity<0 (fixes #4518) @jmoralez (#5253)
renamed tmpnumsamplevalues to nonna_cnt @zyxue (#5521)
[ci] run Appveyor checks on PRs targeting release/ branches @jameslamb (#5528)
[ci] run CI on pull requests targeting release/ branches @jameslamb (#5527)
[python-package] prefix isnumpy1d_array with _ @Madnex (#5520)
replace pandas.Series.iteritems with pandas.Series.items @jmoralez (#5506)
[ci] prefer CPython in Windows test environment and use safer approach for cleaning up network (fixes #5509) @jameslamb (#5510)
[ci] test against R 4.2 for macOS and Linux CI jobs @jameslamb (#5484)
[R-package] improve safety of index selection in plotting @jameslamb (#5485)
[ci] [R-package] ensure that MSVC jobs fail when tests fail (fixes #5439) @jameslamb (#5448)
[python-package] add more hints in sklearn.py @jameslamb (#5460)
[R-package] [ci] restore R 3.6 Windows cran CI job (fixes #5036) @jameslamb (#5479)
Remove redundant whitespaces @ch3rn0v (#5480)
fix references to 'object function' @jameslamb (#5468)
[python] Fix typehints in Sequence API @StrikerRUS (#5465)
fix: Revert leftover debugging in streaming test @svotaw (#5467)
Fix CUDA #ifndef guards @StrikerRUS (#5466)
[python-package] add type hints on Dataset constructors @jameslamb (#5458)
Add streaming concurrency tests @svotaw (#5437)
Rename Metadata num_classes to be more clear @svotaw (#5461)
[R-package] fix function references in error messages @jameslamb (#5455)
[python-package] fix type hints on ctypes array converters @jameslamb (#5446)
[python-package] fix mypy errors about callbacks @jameslamb (#5450)
[python-package] add type hints on empty initializations @jameslamb (#5445)
[python-package] fix mypy error about type change in Dataset.featurenumbin() @jameslamb (#5447)
[ci][fix] Fix cuda_exp ci @shiyu1994 (#5438)
[python] remove unused import @StrikerRUS (#5443)
[ci] bump CUDA version from 11.7.0 to 11.7.1 at CI @StrikerRUS (#5442)
[python-package] add type hints on Booster eval methods @jameslamb (#5433)
update tree to if-else @jmoralez (#5422)
[ci] bump CUDA version from 11.6.2 to 11.7.0 at CI @StrikerRUS (#5287)
[python-package] add more type hints on Dataset @jameslamb (#5431)
[python-package] add more type hints on Booster @jameslamb (#5432)
[ci] increase valgrind bytes lost limit to 352 @jameslamb (#5429)
[python] Prefix basic.is_numeric() with _ @ak04p (#5421)
[ci] increase valgrind timeout to 5 hours @jameslamb (#5414)
[python-package] add more type hints in basic.py @jameslamb (#5407)
[python-package] prefix NUMERIC_TYPES with _ to make it a internal object @thomasjpfan (#5409)
[python-package] add type hints on Booster.save_model() @jameslamb (#5406)
Minor CUDA cleanup @StrikerRUS (#5394)
[ci] temporarily pin scipy version and fix Python linting error @StrikerRUS (#5398)
[python-package] add type hints on some functions in basic.py @makquel (#5362)
[python-package] add more type hints on Booster @jameslamb (#5360)
[python-package] make library-loading stricter @jameslamb (#5357)
[python-package] add type hints on Booster.update() @jameslamb (#5359)
[python-package] add more type hints on basic.py @jameslamb (#5356)
[python-package] add type hints on Dataset @jameslamb (#5353)
[python-package] remove inner function constructdataset() in LGBMModel.fiit() @jameslamb (#5333)
[python-package] add type hints on predict() methods @jameslamb (#5334)
[python-package] add more type hints in basic.py @jameslamb (#5330)
[ci][R-package] Minor refactoring for lintr code @StrikerRUS (#5327)
[python-package] add more type hints in engine.py @jameslamb (#5301)
[ci] [R-package] Add stringboundarylinter @CuriousCorrelation (#5324)
[python-package] add more type hints on Booster @jameslamb (#5309)
[ci] [R-package] Add paste_linter @CuriousCorrelation (#5320)
[ci] [R-package] Add duplicateargumentlinter @SaumyaBhushan (#5310)
[ci] [R-package] Add a few more linters @CuriousCorrelation (#5311)
[ci] [R-package] Add class_equals linter @CuriousCorrelation (#5307)
[python][sklearn] Simplify params handling in predict() with _choose_param_value() @StrikerRUS (#5308)
[ci] [R-package] Add anyisna_linter @CuriousCorrelation (#5306)
[python-package] add some type hints on Booster @jameslamb (#5302)
[python] preserve None in chooseparam_value() @jameslamb (#5289)
[ci] Install PoCL in Docker for old Ubuntu 14.04 @StrikerRUS (#5286)
[R-package] Specify concrete linting rule that is being ignored via nolint mark @StrikerRUS (#5300)
[python-package] add type hints on cv() @jameslamb (#5271)
[ci] [R-package] upgrade to lintr v3.0 (fixes #5228) @jameslamb (#5294)
[ci] Pin lintr to <3.0 @jgiannuzzi (#5290)
[ci] Run Linux OpenCL tests against POCL instead of the AMD App SDK @jgiannuzzi (#5282)
[tests][python] Make test that checks original pandas data isn't modified more strict @StrikerRUS (#5267)
[python] add more type hints in basic.py @jameslamb (#5255)
[python] add more type hints on LGBMModel methods @jameslamb (#5239)
[R-package] address linter warnings about portable paths @jameslamb (#5249)
[R-package] [ci] silence more logs in tests (fixes #4862) @jameslamb (#5250)
Remove leftovers after the drop of Solaris support @StrikerRUS (#5248)
[python] add type hints on sklearn metric and eval wrappers @jameslamb (#5238)
[R-package] silence logs in print(), show(), summary() tests @jameslamb (#5237)
[R-package] standardize style for placement of braces @jameslamb (#5240)
[R-package] remove semicolon in R code @jameslamb (#5232)
[R-package] remove Solaris reference in test message @jameslamb (#5231)
[R-package] silence more logs in unit tests @jameslamb (#5227)
[ci] switch CRAN mirror to RStudio @jameslamb (#5230)
Cleanup codeowners @StrikerRUS (#5215)
[R-package] minor improvements on weight demo @jmoralez (#5212)
[ci] fix R Hub token @jameslamb (#5210)
[R-package] silence more logs in tests @jameslamb (#5208)
[ci] Prevent Python downgrading to pypy on Windows (2) @StrikerRUS (#5198)
[ci] Prevent Python downgrading to pypy on Windows @StrikerRUS (#5197)
[ci] fix git checkout for comment-triggered CI jobs @jameslamb (#5169)
[python] remove unused import from basic.py @StrikerRUS (#5188)
[tests] replace fobj with custom objective in test comments and make tests stricter @StrikerRUS (#5173)
[ci] Update version of Azure REST API @StrikerRUS (#5172)
[ci] skip auto-injected tasks at Azure Pipelines @StrikerRUS (#5175)
fix typo in CEGB method name @jameslamb (#5168)
[ci] temporarily pin Azure Devops jobs to ubuntu 20.04 @jameslamb (#5174)
[ci] fix git checkout for CI jobs (fixes #5151) @jameslamb (#5152)
[ci] bump CUDA version from 11.5.1 to 11.6.2 at CI @StrikerRUS (#5149)
[python] Use predefined constant in feature importance type comparison instead of raw int literal @StrikerRUS (#5148)
[ci] update to R 4.1.3 and use macOS-latest for R jobs (fixes #4990) @jameslamb (#5137)
[ci] have no-response bot post as github-actions user @jameslamb (#5136)
[ci] fail R macOS CI jobs earlier when installations fail @jameslamb (#5129)
[ci] use lee-dohm/no-response to close stale issues (fixes #5060) @jameslamb (#5120)
[ci] Remove temp workaround for graphviz installation @StrikerRUS (#5126)
[R-package] rename internal callback functions @mayer79 (#5123)
[R-package] ensure boosting happens in tests on small datasets @jameslamb (#5121)
[R-package] Add missed packages into dependencies list @StrikerRUS (#5118)
[R-package] add assertions to test on lightgbm() weights @jameslamb (#5110)
Log warnings for number of bins of categorical features @shiyu1994 (#4448)
clarify no-meaningful-features warning in Dataset construction (fixes #5081) @jameslamb (#5083)
[ci] Add text file with GitHub commit hash to nightly builds @StrikerRUS (#5082)
[ci] remove Visual Studio 2017 CI job for R-package @StrikerRUS (#5079)
[python-package] Better column dtype logging when column has "bad dtype" @hsorsky (#5065)
[ci] update CODEOWNERS @jameslamb (#5063)
[ci] fix current master fails with graphviz-related error @StrikerRUS (#5068)
[ci] temporarily remove R3.6 CRAN CI build @jameslamb (#5049)
[tests][python] move tests that use train() function defined in engine.py from test_basic.py to test_engine.py @StrikerRUS (#5034)
[R-package] remove internal function lgb.check.obj() @jameslamb (#5021)
[ci] use Python 3.8 for bdist CI job in old Ubuntu container @StrikerRUS (#5022)
[R-package] raise informative errors directly when Booster creation fails @jameslamb (#5014)
[ci] [docs] use miniforge for readthedocs builds (fixes #4954) @jameslamb (#4957)
[ci] Enclose Python versions in quotes in config yml files @StrikerRUS (#5015)
[python] enforce a floor of Python 3.6 (fixes #5004) @PyVCEchecker (#5006)
Update versions of LightGBM dependencies @StrikerRUS (#4935)
[tests][python] remove compatibility code for old versions in tests @StrikerRUS (#4978)
[ci] use conda-forge in Windows CI jobs and Docker images @StrikerRUS (#4993)
[ci] use latest tag again for Ubuntu 14 CI Docker @StrikerRUS (#5001)
[ci] use conda-forge in Linux and macOS CI jobs @jameslamb (#4953)
[ci] upgrade to R 4.1.2 in CI, change approach to macOS-latest R CI builds (fixes #4988) @jameslamb (#4989)
[ci] bump CUDA version from 11.5.0 to 11.5.1 at CI @StrikerRUS (#4967)
[ci] use -1 for exit code in case of failure @StrikerRUS (#4939)
[tests][R-package] use one # symbol for comments @StrikerRUS (#4940)
[ci] bump CUDA version from 11.4.2 to 11.5.0 at CI @StrikerRUS (#4937)
[ci] Bump version for development @StrikerRUS (#4933)
[R-package] [tests] remove uses of testthat::context() @jameslamb (#4915)
[R-package][tests] remove uses of testthat::expect_is() @jameslamb (#4916)
[R-package] remove unnecessary comments and fix typos in comments @jameslamb (#4902)
[R-package] reduce verbosity in tests using lgb.train() @jameslamb (#4896)
[tests][python-package] change boston dataset to synthetic dataset in tests that don't check score @jmoralez (#4895)
[R-package] reduce verbosity in some unit tests @jameslamb (#4879)
[R-package] remove unused callback cb.reset.parameter @jameslamb (#4871)
[python-package][dask] handle failures parsing worker host names @jameslamb (#4852)
[python-package] [dask] fix mypy error about worker_addresses @jameslamb (#4851)
[python] remove workaround for UnboundLocalError in early stopping callback for Python 2 @StrikerRUS (#4855)
[python-package] remove unused imports @jameslamb (#4850)
[python-package] fix mypy errors in engine.py @jameslamb (#4839)
[python-package] [dask] fix mypy errors from dask.py docstrings @jameslamb (#4844)
[python-package] fix mypy errors in sklearn.py @jameslamb (#4837)
[tests][dask] fix argument names in custom eval function in Dask test @StrikerRUS (#4833)
[python-package] fix mypy errors in plotting.py @jameslamb (#4838)
[python-package] fix mypy error about missing type hint in dask.py @jameslamb (#4840)
[python-package] fix mypy errors in compat.py and setup.py @jameslamb (#4836)
[docs][python] simplify mocking in docs @StrikerRUS (#4830)
[python] add type hints to _compare_params_for_warning() and make it reusable @StrikerRUS (#4824)
[R-package] Move R6 to Imports @david-cortes (#4812)
[ci] Fix CI job for R artifact @StrikerRUS (#4811)
[ci] fix getting status of optional workflows in PRs with a lot of comments @StrikerRUS (#4806)
[python] add type hints for custom objective and metric functions in scikit-learn interface @jameslamb (#4547)
[c_api] Improve ANSI compatibility by avoiding @drewmiller (#4697)
[ci] ignore CMakeLint errors related to package names @StrikerRUS (#4801)
[ci] fix CMakeLint errors related to function naming case @StrikerRUS (#4794)
[ci] simplify processing of CMAKE_CUDA_FLAGS variable in CMakeLists.txt @StrikerRUS (#4799)
[ci] fix CMakeLint linelength errors @StrikerRUS (#4796)
[ci] use pure endif() and endfunction() without expression inside in CMakeLists.txt @StrikerRUS (#4798)
cmake: use object library to avoid duplicate compilation. @cyfdecyf (#4489)
Suppress categorical warning (fixes #3379) @hzy46 (#4768)
[ci][tests][python] remove assertion for filename that is no longer true with new version of graphviz @StrikerRUS (#4778)
[ci] Revert temp workaround for freetype version @StrikerRUS (#4776)
[ci] increase timeout for valgrind job to 240 minutes @jameslamb (#4773)
[python] improve warning message about aliases in cv() function @StrikerRUS (#4766)
[ci] Temporary pin dask version at CI @StrikerRUS (#4770)
[ci] use wch1/r-debug image in Solaris tests @jameslamb (#4765)
[ci] upgrade actions/checkout to v2.4.0 @jameslamb (#4763)
[docs][python] add datatable to the mocked modules during docs building process and sort them alphabetically @StrikerRUS (#4750)
[R-package] allow use of custom R executable when building CRAN package @jameslamb (#4754)
[R-package] remove temporary files created in configure.win @jameslamb (#4752)
[ci] indicate support of Monterey @StrikerRUS (#4732)
[python] Make dummy classes constructible with any arguments @StrikerRUS (#4749)
[ci] Temporary pin freetype version at Windows CI @StrikerRUS (#4747)
Remove checks for label when loading dataset from binary file because label is ignored in that case @StrikerRUS (#4737)
[tests][python] add test for non-serializable callback @StrikerRUS (#4741)
Improve warning wordings @StrikerRUS (#4731)
[ci] Bump version for development @StrikerRUS (#4730)
Add some warnings when loading dataset from binary file @StrikerRUS (#4724)

- C++
Published by release-drafter[bot] almost 3 years ago

lightgbm - v3.3.5

Changes

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

See #5661 and #5662 for context.

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

💡 New Features

None

🔨 Breaking

None

🚀 Efficiency Improvement

None

🐛 Bug Fixes

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

📖 Documentation

None

🧰 Maintenance

None

- C++
Published by guolinke over 3 years ago

lightgbm - v3.3.4

Changes

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

See #5618 and #5619 for context.

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

💡 New Features

None

🔨 Breaking

None

🚀 Efficiency Improvement

None

🐛 Bug Fixes

prefer 'vsnprintf' to 'vsprintf' @jameslamb (#5561)

📖 Documentation

None

🧰 Maintenance

[ci] test against R 4.2.2 @jameslamb (#5621)

- C++
Published by guolinke over 3 years ago

lightgbm - v3.3.3

Changes

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

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

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

💡 New Features

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

🔨 Breaking

None

🚀 Efficiency Improvement

None

🐛 Bug Fixes

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

📖 Documentation

None

🧰 Maintenance

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

- C++
Published by guolinke over 3 years ago

lightgbm - v3.3.2

Changes

🐛 Bug Fixes

[R-package] Apply patch for R4.2 on Windows @shiyu1994 (#4923)

📖 Documentation

[docs] [R-package] update cran-comments for v3.3.1 release @jameslamb (#4738)

🧰 Maintenance

[ci] Temporary pin dask version at CI @StrikerRUS (#4770)

- C++
Published by guolinke over 4 years ago

lightgbm - v3.3.1

Changes

💡 New Features

[R-package] Expand user paths in file names @david-cortes (#4687)

🐛 Bug Fixes

[python][sklearn] Allow non-serializable objects in callbacks argument @StrikerRUS (#4723)
Fix ASAN issues with std::function usage @david-cortes (#4673)
fix behavior for default objective and metric @StrikerRUS (#4660)

📖 Documentation

[docs] Add Tong Wu and Zhiyuan He as code owners @shiyu1994 (#4717)
[docs] fix R API link to point to the current version of docs @StrikerRUS (#4691)
[docs] update comment about pre-installed Java version for SWIG build @StrikerRUS (#4710)
[docs] fix C API docs rendering @StrikerRUS (#4688)
[docs] Add avatar to Yu Shi in R docs @StrikerRUS (#4690)

🧰 Maintenance

release v3.3.1 @jameslamb (#4715)
[ci] introduce CI jobs that mimic CRAN gcc-ASAN and clang-ASAN tests (fixes #4674) @jameslamb (#4678)
[R-package][test] add reference to the original issue in R-package test @StrikerRUS (#4720)
[python] Improve error message for plot_metric with Booster @js850 (#4709)
[R-package] allow for small numerical differences in Booster test @jameslamb (#4714)
Fix some paramater hints when loading from binary file @hzy46 (#4701)
[ci] fix CI Windows script to use downloaded SWIG, not the pre-installed one @StrikerRUS (#4711)
[ci] Rename RTD config file @StrikerRUS (#4689)
[ci] Bump Google Test version from 1.10.0 to 1.11.0 @StrikerRUS (#4683)
[python] fix mypy error in engine.py @rakki-18 (#4675)
[python] fix mypy error in setup.py @rakki-18 (#4671)
update Guolin's e-mail in setup.py @StrikerRUS (#4663)
Replace deprecated licenseUrl field with license one in .nuspec file @StrikerRUS (#4669)
[python][sklearn] use __sklearn_is_fitted__() in all estimator fitness checks @StrikerRUS (#4654)
[ci] Bump version for development @StrikerRUS (#4662)

- C++
Published by guolinke over 4 years ago

lightgbm - v3.3.0

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 objecthook to method dumpmodel @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 cntinbin 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, initscore, sampleweights (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 LGBMBoosterGetEvalNames and LGBMBoosterGetEvalCounts (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 listto1d_numpy test to run without pandas installed @jmoralez (#4639)
[python] add type hints to safecall @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 setfield() and getfield() @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 MMPREFETCH and MMMALLOC not only in CRAN builds @StrikerRUS (#4540)
[ci] Add checks that OpenMP is used in R-package builds @StrikerRUS (#4538)
[ci] Add checks that MMPREFETCH and MMMALLOC 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 capi LGBMSampleIndices() 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 interactiveplotexample.ipynb @StrikerRUS (#4430)
[ci] ensure interactiveplotexample 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 padeval_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 checkdynamicdependencies.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/pythonpackagetest/test_dask.py @sayantan1410 (#4358)
Updated tests/pythonpackagetest/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.lasterror() and LGBMGetLastError_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/pythonpackagetest/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/capitest/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 LGBMGetLastErrorR 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)

- C++
Published by guolinke over 4 years ago

lightgbm - v3.2.1

Changes

💡 New Features

[tests][dask] Add voting_parallel algorithm in tests (fixes #3834) @jmoralez (#4088)
[dask] Include support for raw_score in predict (fixes #3793) @jmoralez (#4024)

🔨 Breaking

[docs] remove macOS installation method with Homebrew formula @StrikerRUS (#4122)

🐛 Bug Fixes

enforce interaction constraints with monotoneconstraintsmethod = intermediate/advanced @ChristophAymannsQC (#4043)
[dask] make random port search more resilient to random collisions (fixes #4057) @jameslamb (#4133)
[dask] run one training task on each worker @jameslamb (#4132)
Fix tcpnodeplay setting by using int type @htgeis (#4058)

📖 Documentation

[docs] update link to Boost binaries @StrikerRUS (#4157)
[docs] add missed CUDA device type in docs @StrikerRUS (#4130)
[docs] Add alt text on images (related to #4036) @akshitadixit (#4038)
[docs] add dtreeviz to the list of external projects @StrikerRUS (#4098)
[docs] add Hummingbird to the list of external projects @StrikerRUS (#4096)

🧰 Maintenance

v3.2.1 release @jameslamb (#4169)
[python] Migrated to f-strings for ..nuget\create_nuget.py #4136 @coldkillerr (#4162)
[ci] Add debian-clang-devel CI job for the R package @jameslamb (#4164)
[python-package] Add type hints to the callback file @deddyjobson (#4093)
[ci] Restrict breathe version at CI @StrikerRUS (#4168)
[ci] upgrade R to 4.0.5 in CI @jameslamb (#4158)
[ci] Stop running CUDA tests at CI @StrikerRUS (#4167)
[tests][dask] replace client fixture with cluster fixture @jmoralez (#4159)
[python] added f-strings to docs/conf.py @NovusEdge (#4147)
[ci] run 'brew update' in macOS jobs (fixes #4160) @jameslamb (#4161)
clarify DEBUG-level log about tree depth @jameslamb (#4126)
[tests][dask] use dytrue mean in denominator for _r2score @jmoralez (#4151)
[ci] use GitHub Actions to re-generate R configure @StrikerRUS (#4140)
[python] added f-strings to python-package/setup.py @NovusEdge (#4145)
[docs] fix param name typo in comments @StrikerRUS (#4139)
[tests][dask] test all boosting types (fixes #3896) @jmoralez (#4119)
[ci] use f-strings in libpath.py @StrikerRUS (#4137)
update CODEOWNERS @jameslamb (#4127)
[ci] Added curl library to the installed packages list inside dockerfile-python installation @hemanth171 (#4129)
[ci] apply cpplint to cpp tests @StrikerRUS (#4092)
[ci] remove output parametrization from two Dask tests @StrikerRUS (#4123)
[ci] build CRAN R-package on Azure with every commit and attach it to releases @StrikerRUS (#4117)
[tests][dask] Create an informative categorical feature @jmoralez (#4113)
[ci] bump CUDA version and pull dockers from NVIDIA NGC @StrikerRUS (#4112)
[ci] attach archives with complete source code of the repo to releases @StrikerRUS (#4111)
[R-package] fix typo in linear learner test @jameslamb (#4109)
[ci] restrict CMake version for CUDA+Clang jobs @StrikerRUS (#4104)
[ci] fix flaky Azure Pipelines jobs (2) @StrikerRUS (#4097)
[ci] fix flaky Azure Pipelines jobs @StrikerRUS (#4095)
[ci] Bump version for development @StrikerRUS (#4094)

- C++
Published by guolinke about 5 years ago

lightgbm - v3.2.0

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 EIGENMPL2ONLY (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 innerstart >= innerend 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 locallistenport, numthreads, treelearner (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 anynan 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 predidctfun is used @shiyu1994 (#3721)
Fix compiler warnings caused by implicit type conversion (fixes #3677) @btrotta (#3729)
fix testmonotoneconstraints 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 machinelistfilename 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 sphinxrtdtheme 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 mindatain_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/pythonpackagetest/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/pythonpackagetest/test_basic.py #3958 @zyxue (#3977)
[ci][python] apply isort to tests/pythonpackagetest/test_consistency.py #3958 @zyxue (#3978)
[ci][python] apply isort to tests/pythonpackagetest/test_plotting.py #3958 @zyxue (#3982)
[ci][python] apply isort to tests/pythonpackagetest/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/capitest/test_.py #3958 @zyxue (#3975)
[ci][python] apply isort to tests/pythonpackagetest/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/pythonpackagetest/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)
openmpwrapper.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 testsaveandloadlinear 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 RASINT64 @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)

- C++
Published by guolinke about 5 years ago

lightgbm - v3.1.1

Changes

💡 New Features

[R-package] {lightgbm} is now available on CRAN (fixes #629) @jameslamb (#3612)
[R-package] Use command-line args to customize CMake builds (fixes #2441) @jameslamb (#3574)
[python] Allow to build Python wheel package @dolfinus (#3594)

🚀 Efficiency Improvement

[R-package] use as.factor() instead of factor() in lgb.cv() @jameslamb (#3560)

🐛 Bug Fixes

[R-package] fix partial matching of keyword arguments in lgb.cv() (fixes #3629) @jameslamb (#3630)
fix typo in dataset checks @StrikerRUS (#3631)
Check max_bin, etc. match config when using binary @cyfdecyf (#3592)
[R-package] construct dataset earlier in lgb.train and lgb.cv (fixes #3583) @tonyk7440 (#3598)
[python] fix regex in MANIFEST file @StrikerRUS (#3593)
Fix #3557 and potential issue with dense multi-val feature groups. @shiyu1994 (#3590)
fix deterministic, part2 @guolinke (#3578)
remove maxblocksize_ in train states (fix #3570) @shiyu1994 (#3575)

📖 Documentation

[python] more detailed docs for treestodataframe(), createtreedigraph(), plot_tree() @jameslamb (#3618)
[docs] update documentation with AUC-mu, average precision @jameslamb (#3627)
[docs] Add new badges @StrikerRUS (#3610)
[docs][R-package] fix typo @StrikerRUS (#3609)
[docs] add link to lightgbm4j to readme @shuttie (#3597)

🧰 Maintenance

release 3.1.1 @jameslamb (#3611)
[ci] add credentials to gitignore @jameslamb (#3620)
[R-package] Update remaining internal function calls to use keyword arguments @zenggyu (#3617)
[R package] update lgb.Dataset.R to use keyword arguments @zenggyu (#3607)
[R-package] Update lgb.model.dt.tree.R to use keyword arguments @zenggyu (#3605)
[R-package] use keyword arguments for internal functions in utils.R @mfrasco6 (#3604)
[ci] remove unnecessary environment variables in R-package CI @jameslamb (#3602)
[R-package][tests] update values in valgrind test @StrikerRUS (#3600)
[refactor] Reduce code duplication in c_api.cpp @AlbertoEAF (#3539)
[refactor] SWIG - Split pointer manipulation to individual .i file @AlbertoEAF (#3538)
[ci] test 32-bit R in CI @jameslamb (#3588)
[ci] Fix missing git install in R artifact job (fixes #3567) @jameslamb (#3587)
[R-package] Remove CLI-only objects @jameslamb (#3566)
small R Docker cleanup @StrikerRUS (#3582)
[python] remove unnecessary files to reduce sdist size @jameslamb (#3579)
bump version for development @guolinke (#3568)
[ci] remove conda from R CI jobs @jameslamb (#3573)

- C++
Published by guolinke over 5 years ago

lightgbm - v3.1.0

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 firstmetriconly (fixes #2368) @jameslamb (#2912)
[python][sklearn] be compatible with checkisfitted 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 MMPREFETCH and MMMALLOC checks in configure.ac @jameslamb (#3510)
avoid mindata and minhessian 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 renewtreeoutput @guolinke (#3368
[R-package] Fix incorrect numiterations, earlystopping_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^maxdepth > numleaves). @AlbertoEAF (#3537)
better document for binconstructsample_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 APPLEOUTPUTDYLIB 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 lintrcode.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)

- C++
Published by guolinke over 5 years ago

lightgbm - v3.0.0

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: featurename in lgb sklearn api @zhangqibot (#2740)
Implementation of XENDCGMART 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 OMPNUMTHREADS 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 earlystoppinground <= 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 numthreads of sharestate (#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 earlystoppinground = 0 @guolinke (#3211)
Fix integer overflow in auc_mu (fixes #3201) @btrotta (#3209)
Store the true split gain (without subtracting minsplitgain) 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/findfirstof/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 LIBRCORELIBRARY (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 bestiter and bestscore 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 mostfreqbin 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 upperbound() and lowerbound() 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 XENDCGMART 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 treestodataframe 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 initscore in savebinary @guolinke (#2649)
[docs] provide link to m2cgen from convertmodellanguage 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 startiteration param for predict in Python and some code cleanup for startiteration @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 RCHECKFORCE_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 buildrsite.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 LGBMBoosterResetTrainingDataR @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 LGBMBoosterRollbackOneIterR @jameslamb (#3006)
[R-package] Added tests on LGBMGetLastErrorR @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 Robjecthelper.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 ompsetnested @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 mmprefetch 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 validcontaintrain @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)

- C++
Published by guolinke almost 6 years ago

lightgbm - v3.0.0rc1

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: featurename in lgb sklearn api @zhangqibot (#2740)
Implementation of XENDCGMART 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 OMPNUMTHREADS 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 earlystoppinground <= 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 numthreads of sharestate (#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 earlystoppinground = 0 @guolinke (#3211)
Fix integer overflow in auc_mu (fixes #3201) @btrotta (#3209)
Store the true split gain (without subtracting minsplitgain) 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/findfirstof/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 LIBRCORELIBRARY (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 bestiter and bestscore 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 mostfreqbin 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 upperbound() and lowerbound() 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 XENDCGMART 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 treestodataframe 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 initscore in savebinary @guolinke (#2649)
[docs] provide link to m2cgen from convertmodellanguage 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 RCHECKFORCE_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 buildrsite.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 LGBMBoosterResetTrainingDataR @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 LGBMBoosterRollbackOneIterR @jameslamb (#3006)
[R-package] Added tests on LGBMGetLastErrorR @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 Robjecthelper.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 ompsetnested @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 mmprefetch 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 validcontaintrain @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)

- C++
Published by guolinke almost 6 years ago

lightgbm - v2.3.1

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 (#2562)
a8dc03250e235a00baf3ecefe4155023624dd239 [ci] fixed cpplint warning about parenthesis placement (#2563)
See More
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 lintrcode.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.

- C++
Published by guolinke over 6 years ago

lightgbm - v2.3.0

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)
See More
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 firstmetriconly on earlystopping. (#2209) [ #2273 ]
939a02482bda2ff5e15887549a8ddfbe9865b087 fixed C API SetField description (#2406)
15566421bcc96d46bac353dee17b981a12827604 [examples] Update example notebook (#2391)
ad8e8ccc9c9a5f8acb192b28715827ebc28dcc07 update featurefractionbynode (#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
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 updateparams 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 initscore and initmodel. (#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 maxdepth for histogrampool_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 bestiter and bestscore (#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 firstmetriconly 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 plotsplitvalue_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 dumpmodel() bug with numleaves=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 firstmetriconly 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 getsplitvalue_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 testdata > validationdata (#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.

- C++
Published by guolinke over 6 years ago

lightgbm - v2.2.3

- C++
Published by guolinke over 7 years ago

lightgbm - v2.2.2

- C++
Published by guolinke over 7 years ago

lightgbm - v2.2.1

- C++
Published by guolinke over 7 years ago

lightgbm - v2.2.0

- C++
Published by guolinke almost 8 years ago

lightgbm - v2.1.0

- C++
Published by guolinke almost 8 years ago

lightgbm - v2.1.1

- C++
Published by guolinke almost 8 years ago

lightgbm - v2.1.2

- C++
Published by guolinke almost 8 years ago

lightgbm - v2.0.12

In addition to LightGBM software, this release is used to host some small artifacts used by this project's testing. These components are not LightGBM software:

OpenCL AMD App SDK for Linux
- AMD-APP-SDKInstaller-v3.0.130.136-GA-linux64.tar.bz2
OpenCL AMD App SDK for Windows
- AMD-APP-SDKInstaller-v3.0.130.135-GA-windows-F-x64.exe
Rtools (from here):
- Rtools 3.5: rtools35-x86_64.exe
- Rtools 4.0v2: rtools40v2-x86_64.exe
- RTools42: rtools42-5253-5107.exe
MiKTeX setup (from here)
- miktexsetup-4.0-x64.zip
- miktexsetup-5.2.0-x64.zip
SWIG (from here)
- swigwin-4.0.2.zip

- C++
Published by guolinke over 8 years ago

lightgbm - v2.0.10

- C++
Published by guolinke over 8 years ago

lightgbm - v2.0.6

- C++
Published by guolinke almost 9 years ago

lightgbm - v2.0.3

- C++
Published by guolinke almost 9 years ago

lightgbm - LightGBM v2.0

A release before GPU support.

- C++
Published by guolinke about 9 years ago

lightgbm - LightGBM v1

- C++
Published by guolinke about 9 years ago