GitLab

* fix bagging

* fixed cpplint issues

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

* add Link Time Code Generation

* remove ltcg

* Apply suggestions from code review

* bump Azure image versions

* fixed Windows builds

* fxied pandas deprecation warning in tests

* support old versions of pandas

* replace std::runtime_error with Log::Fatal

* Update c_api.cpp

* fix random threshold for categorical features

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

* Make timer thread-safe

* Update common.h

* refines

* fixed cpplint issues

* fixed cpplint issues

* fix bug when nan bin is most freq bin

* fix naming

* fix bug

* add test

* Apply suggestions from code review

* fix more bugs

* added possibility to render nested sections in params

* reorganize param sections

* reorder params

* try the fix

* fix 2

* try clang

* Apply suggestions from code review

* get back to gcc
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* [R-package] Fixed R implementation of upper_bound() and lower_bound() for lgb.Booster

* [R-package] switched return type to double

* fixed  R tests on Booster upper_bound() and lower_bound()

* fixed linting

* moved numeric tolerance into a global constant

[R-package] [docker] Added ability to build LightGBM in an R container with different R versions (#2787)

* some refines

* more omp refactoring

* format define

* fix merge bug

* some fixes

* fix some warnings

* Apply suggestions from code review

* Apply suggestions from code review

* remove dup codes

* 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>

* added feature infos to JSON dump

* slight json schema refactor

* simpified code

* refactor feature_infos

* refactoring

* Update src/boosting/gbdt.cpp

* Update dataset.h

* Update include/LightGBM/dataset.h

* simplify

* Apply suggestions from code review

* parse string and construct JSON objs
Co-authored-by: Guolin Ke <guolin.ke@outlook.com>

* remove related cpp codes

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

* Add capability to get possible max and min values for a model

* Change implementation to have return value in tree.cpp, change naming to upper and lower bound, move implementation to gdbt.cpp

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

* Change iteration to avoid potential overflow, add bindings to R and Python and a basic test

* Adjust test values

* Consider const correctness and multithreading protection

* Update test values

* Update test values

* Add test to check that model is exactly the same in all platforms

* Try to parse the model to get the expected values

* Try to parse the model to get the expected values

* Fix implementation, num_leaves can be lower than the leaf_value_ size

* Do not check for num_leaves to be smaller than actual size and get back to test with hardcoded value

* Change test order

* Add gpu_use_dp option in test

* Remove helper test method

* Update src/c_api.cpp
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* Update src/io/tree.cpp
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* Update src/io/tree.cpp
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* Update tests/python_package_test/test_basic.py
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

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

* fixed R Dataset aliases

* Update R-package/R/aliases.R
Co-Authored-By: James Lamb <jaylamb20@gmail.com>

* fix one more typo
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* 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

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

* 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