GitLab

* hotfix for pip error

* Update conf.py

* Update conf.py

* Update conf.py

* fix rtd builds

* [R-package] fix R examples and lgb.plot.interpretation

* remove space in gitignore

* try data.table from conda-forge

* update FAQ
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* Revert "specify the last supported version of scikit-learn (#2637)"

This reverts commit d1002776.

* ban scikit-learn 0.22.0 and skip broken test

* fix updated test

* fix lint test

* Revert "fix lint test"

This reverts commit 8b4db0805fe7a9e7f7eb0be3eac231f85026d196.

* Add the monotone penalty parameter to the config.

* Pass tree in the necessary functions so it can be used in ComputeBestSplitForFeature.

* Add monotone penalty.

* Added link to the original report.

* Add tests.

* Fix GPU.

* Revert "Pass tree in the necessary functions so it can be used in ComputeBestSplitForFeature."

This reverts commit 37757e8e8f3a2c82a604f4af9a926da616660d2e.

* Revert "Fix GPU."

This reverts commit e49eeee41c883f3c97fd5cdbd53c9288094bffb6.

* Added a shared pointer to the tree so the constraints can use it too.

* Moved check on monotone penalty to config.cpp.

* Python linting.

* Use AssertTrue instead of assert_.

* Fix penalization in test.

* Make GPU deterministic in tests.

* Rename tree to tree_ in monotone constraints.

* Replaced epsilon by kEplison.

* Typo.

* Make tree pointer const.

* Update src/treelearner/monotone_constraints.hpp
Co-Authored-By: Guolin Ke <guolin.ke@outlook.com>

* Update src/treelearner/monotone_constraints.hpp
Co-Authored-By: Guolin Ke <guolin.ke@outlook.com>

* Added alias for the penalty.

* Remove useless comment.

* Save CI time.

* Refactor test_monotone_penalty_max.

* Update include/LightGBM/config.h
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* Fix doc to be in line with previous config change commit.
Co-authored-by: Charles Auguste <auguste@dubquantdev801.ire.susq.com>
Co-authored-by: Guolin Ke <guolin.ke@outlook.com>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* downdrage sphinx

* fix latex errors

* Revert "fix latex errors"

This reverts commit 3cdf64748ea4dc7083f7b5de4c40ff659a17de65.

* skip checksum verification

* fixed broken link

* use another link

* Add util functions.

* Added monotone_constraints_method as a parameter.

* Add the intermediate constraining method.

* Updated tests.

* Minor fixes.

* Typo.

* Linting.

* Ran the parameter generator for the doc.

* Removed usage of the FeatureMonotone function.

* more fixes

* Fix.

* Remove duplicated code.

* Add debug checks.

* Typo.

* Bug fix.

* Disable the use of intermediate monotone constraints and feature sampling at the same time.

* Added an alias for monotone constraining method.

* Use the right variable to get the number of threads.

* Fix DEBUG checks.

* Add back check to determine if histogram is splittable.

* Added forgotten override keywords.

* Perform monotone constraint update only when necessary.

* Small refactor of FastLeafConstraints.

* Post rebase commit.

* Small refactor.

* Typo.

* Added comment and slightly improved logic of monotone constraints.

* Forgot a const.

* Vectors that are to be modified need to be pointers.

* Rename FastLeafConstraints to IntermediateLeafConstraints to match documentation.

* Remove overload of GoUpToFindLeavesToUpdate.

* Stop memory leaking.

* Fix cpplint issues.

* Fix checks.

* Fix more cpplint issues.

* Refactor config monotone constraints method.

* Typos.

* Remove useless empty lines.

* Add new line to separate includes.

* Replace unsigned ind by size_t.

* Reduce number of trials in tests to decrease CI time.

* Specify monotone constraints better in tests.

* Removed outer loop in test of monotone constraints.

* Added categorical features to the monotone constraints tests.

* Add blank line.

* Regenerate parameters automatically.

* Speed up ShouldKeepGoingLeftRight.
Co-authored-by: Charles Auguste <auguste@dubquantdev801.ire.susq.com>
Co-authored-by: guolinke <guolin.ke@outlook.com>

Add Optuna link for automated hyperparameter tuning.

* Update Experiments.rst

* Update docs/Experiments.rst

* Update Experiments.rst

* Update Experiments.rst

* fix  extra -> exact and some grammar
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* [R-package] [docs] Added documentation on lgb.dl() and data.table version

* added missed table of contents item

* moved known issues to FAQ docs

* fixed formatting

* don't cache `num_thread`, to avoid change outside

* rename

* update document

* Update docs/Parameters.rst

* Update include/LightGBM/config.h

* Apply suggestions from code review
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

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

* add debug mode in camke

* add debug dll

* Apply suggestions from code review
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* fix naming

* Apply suggestions from code review

* Apply suggestions from code review

* Update LightGBM.sln

* refine

* run MPI job in debug mode

* document USE_DEBUG and USE_TIMETAG
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* code refactoring

* update vcproject

* refine

* fix test

* Update tests/python_package_test/test_sklearn.py

* fix test

* fix bagging

* fixed cpplint issues

* updated docs
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* added possibility to render nested sections in params

* reorganize param sections

* reorder params

* Create CONTRIBUTING.md

* Update README.md

* Update CONTRIBUTING.md

* Update README.md

* Update CONTRIBUTING.md
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* Update Development-Guide.rst

* Update README.md
Co-Authored-By: James Lamb <jaylamb20@gmail.com>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* remove related cpp codes

* removed more mentiones of init_score_filename params
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* reset

* fix a bug

* fix test

* Update c_api.h

* support to no filter features by min_data

* add warning in reset config

* refine warnings for override dataset's parameter

* some cleans

* clean code

* clean code

* refine C API function doxygen comments

* refined new param description

* refined doxygen comments for R API function

* removed stuff related to int8

* break long line in warning message

* removed tests which results cannot be validated anymore

* added test for warnings about unchangeable params

* write parameter from dataset to booster

* consider free_raw_data.

* fix params

* fix bug

* implementing R

* fix typo

* filter params in R

* fix R

* not min_data

* refined tests

* fixed linting

* refine

* pilint

* add docstring

* fix docstring

* R lint

* updated description for C API function

* use param aliases in Python

* fixed typo

* fixed typo

* added more params to test

* removed debug print

* fix dataset construct place

* fix merge bug

* Update feature_histogram.hpp

* add is_sparse back

* remove unused parameters

* fix lint

* add data random seed

* update

* [R-package] centrallized Dataset parameter aliases and added tests on Dataset parameter updating (#2767)
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* commit

* refactoring

* Update src/io/bin.cpp

* Apply suggestions from code review

* bug

* code clean

* remove warning

* commit

* update parameter

* various minor style, docs and cpplint improvements

* fixed typo in warning

* fix recently added cpplint errors

* move note for params upper in description for consistency

* Add extra-trees functionality.

* Remove unnecessary code.

* Update docs.

* Use template for FindBestThresholdSequence.

* Use separate random seed. Fix bug.

* commit

* fix a bug

* fix bug

* reset to track changes

* refine the auto choose logic

* sort the time stats output

* fix include

* change  multi_val_bin_sparse_threshold

* add cmake

* add _mm_malloc and _mm_free for cross platform

* fix cmake bug

* timer for split

* try to fix cmake

* fix tests

* refactor DataPartition::Split

* fix test

* typo

* formating

* Revert "formating"

This reverts commit 5b8de4f7fb9d975ee23701d276a66d40ee6d4222.

* add document

* [R-package] Added tests on use of force_col_wise and force_row_wise in training (#2719)

* naming

* fix gpu code

* Update include/LightGBM/bin.h
Co-Authored-By: James Lamb <jaylamb20@gmail.com>

* Update src/treelearner/ocl/histogram16.cl

* test: swap compilers for CI

* fix omp

* not avx2

* no aligned for feature histogram

* Revert "refactor DataPartition::Split"

This reverts commit 256e6d9641ade966a1f54da1752e998a1149b6f8.

* slightly refactor data partition

* reduce the memory cost
Co-authored-by: James Lamb <jaylamb20@gmail.com>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* fix RTD builds

* more pins

* hotfix

* removed unnecessary pinning

* Implementation of XE_NDCG loss function for ranking.

* Add citation

* Check in example usage for xe_ndcg loss.

* Seed the generator when a seed is provided in the config. Add unit-tests for xe_ndcg

* Update documentation

* Fix indentation

* Address issues raised by reviewers.

* Clean up include statements.

* Fix issues raised by reviewers.

* Regenerate parameters.rst

* Add a note to explain that reproducing xe_ndcg results requires num_threads to be one.

* Introduce objective_seed and use that in rank_xendcg instead of directly using seed

* Change default value of objective_seed

* removed OpenMP ugly fix for Mojave as it's fixed in latest CMake

* test: switch compilers

* switch compilers back

* implement

* better documentation

* Update include/LightGBM/config.h
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* Apply suggestions from code review
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* fix document

* regenerate docs
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* warning for init_score in save_binary

fix #2639

* Update metadata.cpp

* added info into docs
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>