GitLab

* Move monotone constraints to the monotone_constraints files.

* Add checks for debug mode.

* Refactored FindBestSplitsFromHistograms.

* Add headers.

* fix

* Update data_parallel_tree_learner.cpp

* simplify ComputeBestSplitForFeature

* Fix min / max issue.

* Remove duplicated check.
Co-authored-by: Guolin Ke <guolin.ke@outlook.com>

* fix subset bug

* typo

* add fixme tag

* bin mapper

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

* 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.

* Change static map/set to functions that return static variables

* Fixed newline

* testing CI

* removed commented-out code fixed formatting

* return const references to parameter_set and alias_table

* fixup whitespace

* Too many requests error when running CI on docs. Triggering a rebuild.

* add property: feature_name_ in lgb sklearn api

* modify the comments

* fix linting errors and add info about new attribute: feature_name_

* warning for testing col-wise and row-wise

* fix timetag

* no omp_set_nested

* Update openmp_wrapper.h

* slightly reduce the cost of multi-val bin construct.

* Update multi_val_sparse_bin.hpp

* Update test_engine.py

* Update test_sklearn.py

* Update .travis.yml

* Update .vsts-ci.yml

* removed duplicated code from language wrappers

* removed check for resetting metric

* 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

* [R-package] clarified error messages and documentation for lgb.get.eval.result()

* fixed bad link

* Update R-package/man/lgb.get.eval.result.Rd
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* [R-package] added fixes from codereview back in
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* [R-package] made roxygen2 tags explicit and cleaned up documentation

* 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>

* Update R-package/man/lightgbm.Rd
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* [R-package] moved @name to the top of roxygen blocks and removed some inaccurate information in documentation on parameters
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

Use an OpenMP critical section for clEnqueueWriteBuffer

[R-package] fixed sorting issues in lgb.cv() when using a model with observation weights (fixes #2572) (#2573)

* indicate support only for the last 3 macOS versions in wheel name

* document support only for 3 newest macOS versions

* try to use _mm_prefetch anywhere

* refine

* fix bug

* remove the unneeded prefetch

* transfer and enhance test for trees_to_dataframe

* fixed bug in Python 2

* implement

* fix warning

* fix bug

* fix a bug

* remove unneed function

* fix data push bug

* fix valid data push

* fix bug for missing_type=zero

* refine split

* renames

* typo

* Update metadata.cpp

* add version for training set, for efficiently update label/weight/... during training.

* Update lgb.Booster.R

* add prefetch for dense bin

* prefetch for ordered bin

* Update meta.h

* Update meta.h

* Update dense_bin.hpp

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

* test: switch compilers

* switch compilers back