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  1. 18 Apr, 2021 1 commit
  3. 12 Apr, 2021 3 commits
  5. 31 Mar, 2021 1 commit
  7. 27 Mar, 2021 1 commit
  9. 25 Mar, 2021 1 commit
  11. 22 Mar, 2021 2 commits
  13. 21 Mar, 2021 1 commit
  15. 19 Mar, 2021 1 commit
  17. 14 Feb, 2021 1 commit
  19. 08 Feb, 2021 1 commit
  21. 07 Feb, 2021 1 commit
    • Nikita Titov's avatar
      [ci][R-package] run R CRAN checks on Solaris by optional workflow (#3913) · ffebc43f
      Nikita Titov authored 
      * run R CRAN checks on Solaris by optional workflow

* Update triggering_comments.yml

* Update r_solaris.yml

* Update optional_checks.yml

* Update triggering_comments.yml

* Update run_rhub_solaris_checks.R

* Update r_solaris.yml

* Update run_rhub_solaris_checks.R

* Update r_solaris.yml

* simplify code

* fix lint and address review comments
      ffebc43f
  23. 25 Jan, 2021 2 commits
  25. 22 Jan, 2021 1 commit
    • Nikita Titov's avatar
      Move compute and eigen libraries to external_libs folder (#3809) · 6bb6164e
      Nikita Titov authored 
      * move all submodules to external_libs folder

* Update .Rbuildignore

* Update MANIFEST.in

* Update .appveyor.yml

* Update CMakeLists.txt

* Update build_r.R

* Update test.sh

* Update setup.py

* Update CMakeLists.txt

* Update test.sh

* Update setup.py

* Update conf.py

* Update MANIFEST.in

* Update LightGBM.vcxproj

* continue

* test

* test

* Update setup.py

* hotfix

* revert CI tests
      6bb6164e
  27. 19 Jan, 2021 1 commit
  29. 18 Jan, 2021 3 commits
  31. 13 Jan, 2021 2 commits
    • Nikita Titov's avatar
      [ci] improve experience with optional GitHub workflows (#3740) · f997a069
      Nikita Titov authored 
      * improve experience with optional GitHub workflows

* Update README.md

* Update r_artifacts.yml

* Update optional_checks.yml

* continue

* Update triggering_comments.yml

* Update README.md

* Update r_artifacts.yml

* Update r_artifacts.yml

* Update r_artifacts.yml

* Update r_valgrind.yml

* Update r_artifacts.yml

* Update r_valgrind.yml

* Update r_valgrind.yml

* Update r_valgrind.yml

* add docstrings to fix lint

* better formatting for multi-line commands
      f997a069
    • James Lamb's avatar
      [ci] remove Travis (fixes #3519) (#3672) · 318f7fae
      James Lamb authored 
      

* [ci] move CI jobs from Travis to Azure DevOps (fixes #3519)

* comment out other CIs to avoid wasting cycles

* try without docker

* add container back

* stop using --user in pip install

* run check-docs and lint without container

* job names

* move more jobs to Azure-hosted Linux pool

* fix PATH for check-docs

* uncomment other CI

* uncomment windows

* remove uses of maxParallel

* try moving macos-latest jobs to GitHub Actions

* fix config

* fix missing conda env

* set Python version

* remove commented-out code

* add more to GitHub Actions

* try to fix GPU

* remove static_analysis to prevent conflicts with #3726

* change workflow name

* try using ubuntu:latest docker

* fix conda

* trying to find where permissions first break

* add workaround for sudo

* please azure please

* image syntax

* more sudo

* noninteractive

* LC_ALL

* more  sudo

* more stuff

* CONDA dir

* paths

* get path

* missing CONDA

* fix path stuff

* more tests

* fix graphviz

* stuff

* more graphviz

* install xorg-libxau

* graphviz works, run more jobs

* stuff

* enable more tests

* uncomment GitHub Actions

* uncomment all other CIs

* Apply suggestions from code review
Co-authored-by: default avatarNikita Titov <nekit94-08@mail.ru>

* add travis.yml to Rbuildignore

* add Rbuildignore rule for fmt

* add libomp for clang builds

* changes from code review
Co-authored-by: default avatarNikita Titov <nekit94-08@mail.ru>
      318f7fae
  33. 05 Jan, 2021 1 commit
    • Guangyu Zeng's avatar
      [R-package] Add explicit return statement to R functions. (#3703) · 3fd48864
      Guangyu Zeng authored 
      * add explicit return statement to functions in callback.R

* add explicit return statement to functions in lgb.Booster.R

* add explicit return statement to functions in lgb.Dataset.R

* add explicit return statement to functions in lgb.Predictor.R

* add explicit return statement to functions in lgb.cv.R

* add explicit return statement to functions in lgb.interprete.R

* add explicit return statement to functions in lgb.plot.importance.R

* add explicit return statement to functions in saveRDS.lgb.Booster.R

* add explicit return statement to functions in utils.R

* add explicit return statement to functions in lgb.plot.interpretation.R

* add explicit return statement to functions in build_r.R

* fix typo

* return(self) -> return(invisible(self))

* fix some inconsistent indention

* fix test failure

* add another return() statement

* fix linting errors
      3fd48864
  35. 04 Jan, 2021 2 commits
  37. 03 Jan, 2021 4 commits
  39. 24 Dec, 2020 1 commit
    • Belinda Trotta's avatar
      Trees with linear models at leaves (#3299) · fcfd4132
      Belinda Trotta authored 
      * Add Eigen library.

* Working for simple test.

* Apply changes to config params.

* Handle nan data.

* Update docs.

* Add test.

* Only load raw data if boosting=gbdt_linear

* Remove unneeded code.

* Minor updates.

* Update to work with sk-learn interface.

* Update to work with chunked datasets.

* Throw error if we try to create a Booster with an already-constructed dataset having incompatible parameters.

* Save raw data in binary dataset file.

* Update docs and fix parameter checking.

* Fix dataset loading.

* Add test for regularization.

* Fix bugs when saving and loading tree.

* Add test for load/save linear model.

* Remove unneeded code.

* Fix case where not enough leaf data for linear model.

* Simplify code.

* Speed up code.

* Speed up code.

* Simplify code.

* Speed up code.

* Fix bugs.

* Working version.

* Store feature data column-wise (not fully working yet).

* Fix bugs.

* Speed up.

* Speed up.

* Remove unneeded code.

* Small speedup.

* Speed up.

* Minor updates.

* Remove unneeded code.

* Fix bug.

* Fix bug.

* Speed up.

* Speed up.

* Simplify code.

* Remove unneeded code.

* Fix bug, add more tests.

* Fix bug and add test.

* Only store numerical features

* Fix bug and speed up using templates.

* Speed up prediction.

* Fix bug with regularisation

* Visual studio files.

* Working version

* Only check nans if necessary

* Store coeff matrix as an array.

* Align cache lines

* Align cache lines

* Preallocation coefficient calculation matrices

* Small speedups

* Small speedup

* Reverse cache alignment changes

* Change to dynamic schedule

* Update docs.

* Refactor so that linear tree learner is not a separate class.

* Add refit capability.

* Speed up

* Small speedups.

* Speed up add prediction to score.

* Fix bug

* Fix bug and speed up.

* Speed up dataload.

* Speed up dataload

* Use vectors instead of pointers

* Fix bug

* Add OMP exception handling.

* Change return type of LGBM_BoosterGetLinear to bool

* Change return type of LGBM_BoosterGetLinear back to int, only parameter type needed to change

* Remove unused internal_parent_ property of tree

* Remove unused parameter to CreateTreeLearner

* Remove reference to LinearTreeLearner

* Minor style issues

* Remove unneeded check

* Reverse temporary testing change

* Fix Visual Studio project files

* Restore LightGBM.vcxproj.filters

* Speed up

* Speed up

* Simplify code

* Update docs

* Simplify code

* Initialise storage space for max num threads

* Move Eigen to include directory and delete unused files

* Remove old files.

* Fix so it compiles with mingw

* Fix gpu tree learner

* Change AddPredictionToScore back to const

* Fix python lint error

* Fix C++ lint errors

* Change eigen to a submodule

* Update comment

* Add the eigen folder

* Try to fix build issues with eigen

* Remove eigen files

* Add eigen as submodule

* Fix include paths

* Exclude eigen files from Python linter

* Ignore eigen folders for pydocstyle

* Fix C++ linting errors

* Fix docs

* Fix docs

* Exclude eigen directories from doxygen

* Update manifest to include eigen

* Update build_r to include eigen files

* Fix compiler warnings

* Store raw feature data as float

* Use float for calculating linear coefficients

* Remove eigen directory from GLOB

* Don't compile linear model code when building R package

* Fix doxygen issue

* Fix lint issue

* Fix lint issue

* Remove uneeded code

* Restore delected lines

* Restore delected lines

* Change return type of has_raw to bool

* Update docs

* Rename some variables and functions for readability

* Make tree_learner parameter const in AddScore

* Fix style issues

* Pass vectors as const reference when setting tree properties

* Make temporary storage of serial_tree_learner mutable so we can make the object's methods const

* Remove get_raw_size, use num_numeric_features instead

* Fix typo

* Make contains_nan_ and any_nan_ properties immutable again

* Remove data_has_nan_ property of tree

* Remove temporary test code

* Make linear_tree a dataset param

* Fix lint error

* Make LinearTreeLearner a separate class

* Fix lint errors

* Fix lint error

* Add linear_tree_learner.o

* Simulate omp_get_max_threads if openmp is not available

* Update PushOneData to also store raw data.

* Cast size to int

* Fix bug in ReshapeRaw

* Speed up code with multithreading

* Use OMP_NUM_THREADS

* Speed up with multithreading

* Update to use ArrayToString

* Fix tests

* Fix test

* Fix bug introduced in merge

* Minor updates

* Update docs
      fcfd4132
  41. 09 Dec, 2020 1 commit
  43. 08 Dec, 2020 2 commits
    • Alberto Ferreira's avatar
      Fix model locale issue and improve model R/W performance. (#3405) · 792c9303
      Alberto Ferreira authored 
      * Fix LightGBM models locale sensitivity and improve R/W performance.

When Java is used, the default C++ locale is broken. This is true for
Java providers that use the C API or even Python models that require JEP.

This patch solves that issue making the model reads/writes insensitive
to such settings.
To achieve it, within the model read/write codebase:
 - C++ streams are imbued with the classic locale
 - Calls to functions that are dependent on the locale are replaced
 - The default locale is not changed!

This approach means:
 - The user's locale is never tampered with, avoiding issues such as
    https://github.com/microsoft/LightGBM/issues/2979 with the previous
    approach https://github.com/microsoft/LightGBM/pull/2891
 - Datasets can still be read according the user's locale
 - The model file has a single format independent of locale

Changes:
 - Add CommonC namespace which provides faster locale-independent versions of Common's methods
 - Model code makes conversions through CommonC
 - Cleanup unused Common methods
 - Performance improvements. Use fast libraries for locale-agnostic conversion:
   - value->string: https://github.com/fmtlib/fmt
   - string->double: https://github.com/lemire/fast_double_parser (10x
      faster double parsing according to their benchmark)

Bugfixes:
 - https://github.com/microsoft/LightGBM/issues/2500
 - https://github.com/microsoft/LightGBM/issues/2890
 - https://github.com/ninia/jep/issues/205

 (as it is related to LGBM as well)

* Align CommonC namespace

* Add new external_libs/ to python setup

* Try fast_double_parser fix #1

Testing commit e09e5aad828bcb16bea7ed0ed8322e019112fdbe

If it works it should fix more LGBM builds

* CMake: Attempt to link fmt without explicit PUBLIC tag

* Exclude external_libs from linting

* Add exernal_libs to MANIFEST.in

* Set dynamic linking option for fmt.

* linting issues

* Try to fix lint includes

* Try to pass fPIC with static fmt lib

* Try CMake P_I_C option with fmt library

* [R-package] Add CMake support for R and CRAN

* Cleanup CMakeLists

* Try fmt hack to remove stdout

* Switch to header-only mode

* Add PRIVATE argument to target_link_libraries

* use fmt in header-only mode

* Remove CMakeLists comment

* Change OpenMP to PUBLIC linking in Mac

* Update fmt submodule to 7.1.2

* Use fmt in header-only-mode

* Remove fmt from CMakeLists.txt

* Upgrade fast_double_parser to v0.2.0

* Revert "Add PRIVATE argument to target_link_libraries"

This reverts commit 3dd45dde7b92531b2530ab54522bb843c56227a7.

* Address James Lamb's comments

* Update R-package/.Rbuildignore
Co-authored-by: default avatarJames Lamb <jaylamb20@gmail.com>

* Upgrade to fast_double_parser v0.3.0 - Solaris support

* Use legacy code only in Solaris

* Fix lint issues

* Fix comment

* Address StrikerRUS's comments (solaris ifdef).

* Change header guards
Co-authored-by: default avatarJames Lamb <jaylamb20@gmail.com>
      792c9303
    • James Lamb's avatar
      release 3.1.1 (#3611) · 218446a5
      James Lamb authored 
      
Co-authored-by: default avatarStrikerRUS <nekit94-12@hotmail.com>
      218446a5
  45. 07 Dec, 2020 1 commit
  47. 01 Dec, 2020 2 commits
  49. 30 Nov, 2020 2 commits
  51. 29 Nov, 2020 1 commit