GitLab

* Add handling of RandomState object, which is standard for sklearn methods.

LightGBM expects an integer seed instead of an object.
If passed object is RandomState, we choose random integer based on its state to seed the underlying low level code.
While chosen random integer is only in the range between 1 and 1e10 I expect it to have enough entropy (?) to not matter in practice.

* Add RandomState object to random_state docstring.

* remove blank line

* Use property to handle setting random_state.
This enables setting cloned estimators with the set_params method in sklearn.

* Add docstring to attribute.

* Fix and simplify docstring.

* Add test case.

* Use maximal int for datatype in seed derivation.

* Replace random_state property with interfacing in fit method.
Derives int seed for C code only when fitting and keeps RandomState object as param.

* Adapt unit test to property change.

* Extended test case and docstring
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* Add more equality checks (feature importance, best iteration/score).

* Add equality comparison of boosters represented by strings.
Remove useless best_iteration_ comparison (we do not use early_stopping).

* fix whitespace

* Test if two subsequent fits produce different models

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

* Update LightGBM.vcxproj

* Update LightGBM.vcxproj.filters

* [R-package] [ci] added more linters

* Update R-package/tests/testthat/test_parameters.R
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* added cbind() to undesirable_function_linter

* fixed linting

* Update .ci/lint_r_code.R

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

* Fix Booster read/write locale dependency

* Address review comments

* Move LocaleContext.h->locale_context.h
Co-authored-by: alberto.ferreira <alberto.ferreira@feedzai.com>

* fix

* fix return

* fix test

* fix test

* fix predictor is none

* Apply suggestions from code review

* Update basic.py

* Update basic.py

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

* fix the bug when use different params with reference

* fix

* Update basic.py

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

* Update basic.py

* add test

* Apply suggestions from code review

* added asserts in test
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
Co-authored-by: StrikerRUS <nekit94-12@hotmail.com>

* Add LightGBM Tuner by Optuna links to README.md

* Removing Optuna Integrated badge

* Update README.md

Add repository code link.

* Update README.md
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* Update release-drafter.yml

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

* Update .github/release-drafter.yml

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

Add Optuna link for automated hyperparameter tuning.

* fixed cpplint errors and disable warning only for VS

* wrap more pragma warning

* [R-package] cleaned up formatting in R C/C++ files

* reverted some indentation changes

* fixed spacing for comments

* lightgbm to LightGBM

* [R-package] Introduced define LGB_BUILD_R to control compilation of lib_lightgbm for the R package

* fixed comment

* switched to cmake options

* fixed typo

* 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>

* commit

* fix msvc

* fix format

* Create release-drafter.yml

* Create no-response.yml

* disable comments

* Apply suggestions from code review

* Update release-drafter.yml

* Apply suggestions from code review

* Update .vsts-ci.yml

* only one fix

* add more

* add more

* save all param values into model file

* revert storing predict params

* do not save params for predict and convert tasks

* fixed test: 10 is found successfully for default 100

* specify more params as no-save

* speed up for const hessian

* rename template

* some refactorings

* refine

* refine

* simplify codes

* fix random in feature histogram

* code refine

* refine

* try fix

* make gcc happy

* remove timer

* rollback some changes

* more templates

* fix a bug

* reduce the cost of timer

* fix gpu

* fix bug

* fix gpu

* [ci] fixed cpplint warnings about braces

* removed excess line

* [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

* fixed cpplint errors

* fixed more cpplint errors

* Update setup.sh

* install only binary R packages on macOS

* speed up for const hessian

* rename template

* fix clang build

* template init

* add comment

* refix

* fix config

* avoid to rely on config

* reduce overhead of get num_threads

* add warning

* Apply suggestions from code review

* Apply suggestions from code review

* speed up multi-val bin subset for bagging

* remove the duplicated codes

* code refine

* some codes refactoring

* move `is_constant_hessian` into `TrainingShareStates`

* refine

* fix bug

* fix bug when num_groups_ < 0

* fix gpu

* fix gpu bagging

* fix gpu bug

* typo

* Update src/treelearner/serial_tree_learner.h