GitLab

* [R-package] prevent symbol lookup conflicts

* add unit tests

* only run test on Windows

* move to .Call() calls

* fix references

* testing registration for CMake builds

* revert NAMESPACE changes

* revert testing changes

* [R-package] raise errors from C++ side

* working but a lot of warnings

* more changes

* simplify

* cleanup

* linting

* fix valgrind issues

* revert unnecessary change

* [ci] Add debian-clang-devel CI job for the R package

* [ci] Add debian-clang-devel CI job for the R package

* fixes

* fix test

* update cran-comments

* re-trigger CI

* catch warnings and notes

* fail with only a NOTE

* uncomment CI code

* remove env vars in windows tests

* Update R-package/cran-comments.md
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
Co-authored-by: StrikerRUS <nekit94-12@hotmail.com>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* remove unused params from tests for the speedup

* Update test_lgb.Booster.R

* [R-package] enable use of trees with linear models at leaves (fixes #3319)

* remove problematic pragmas

* fix tests

* try to fix build scripts

* try fixing pragma check

* more pragma checks

* ok fix pragma stuff for real

* empty commit

* regenerate documentation

* try skipping test

* uncomment CI

* add note on missing value types for R

* add tests on saving and re-loading booster

* [R-package] add support for non-ASCII feature names (fixes #2983)

* fix Windows

* [R-package] allow access to params in Booster

* remove unnecessary whitespace

* fix test on resetting params

* remove pytest_cache

* Update R-package/tests/testthat/test_custom_objective.R

* construct dataset earlier in lgb.train and lgb.cv

* Update R-package/tests/testthat/test_dataset.R
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Update R-package/R/lgb.cv.R
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Update R-package/R/lgb.train.R
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Update R-package/tests/testthat/test_dataset.R
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* fixing lint issues

* styling updates

* fix failing test
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* [ci] test 32-bit R in CI

* add R 3.6 Windows CRAN job

* add tests

* [R-package] fix learning-to-rank tests on Solaris

* Update R-package/tests/testthat/test_learning_to_rank.R
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* Add support to optimize for NDCG at a given truncation level

In order to correctly optimize for NDCG@_k_, one should exclude pairs containing both documents beyond the top-_k_ (as they don't affect NDCG@_k_ when swapped).

* Update rank_objective.hpp

* Apply suggestions from code review
Co-authored-by: Guolin Ke <guolin.ke@outlook.com>

* Update rank_objective.hpp

remove the additional branching: get high_rank and low_rank by one "if".

* Update config.h

add description to lambdarank_truncation_level parameter

* Update Parameters.rst

* Update test_sklearn.py

update expected NDCG value for a test, as it was affected by the underlying change in the algorithm

* Update test_sklearn.py

update NDCG@3 reference value

* fix R learning-to-rank tests

* Update rank_objective.hpp

* Update include/LightGBM/config.h
Co-authored-by: Guolin Ke <guolin.ke@outlook.com>

* Update Parameters.rst
Co-authored-by: Guolin Ke <guolin.ke@outlook.com>
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* fix int64 write error

* attempt

* [WIP] [ci] [R-package] Add CI job that runs valgrind tests

* update all-successful

* install

* executable

* fix redirect stuff

* Apply suggestions from code review
Co-authored-by: Guolin Ke <guolin.ke@outlook.com>

* more flags

* add mc to msvc proj

* fix memory leak in mc

* Update monotone_constraints.hpp

* Update r_package.yml

* remove R_INT64_PTR

* disable openmp

* Update gbdt_model_text.cpp

* Update gbdt_model_text.cpp

* Apply suggestions from code review

* try to free vector

* free more memories.

* Update src/boosting/gbdt_model_text.cpp

* fix using

* try the UNPROTECT(1);

* fix a const pointer

* fix Common

* reduce UNPROTECT

* remove UNPROTECT(1);

* fix null handle

* fix predictor

* use NULL after free

* fix a leaking in test

* try more fixes

* test the effect of tests

* throw exception in Fatal

* add test back

* Apply suggestions from code review

* commet some tests

* Apply suggestions from code review

* Apply suggestions from code review

* trying to comment out tests

* Update openmp_wrapper.h

* Apply suggestions from code review

* Update configure

* Update configure.ac

* trying to uncomment

* more comments

* more uncommenting

* more uncommenting

* fix comment

* more uncommenting

* uncomment fully-commented out stuff

* try uncommenting more dataset tests

* uncommenting more tests

* ok getting closer

* more uncommenting

* free dataset

* skipping a test, more uncommenting

* more skipping

* re-enable OpenMP

* allow on OpenMP thing

* move valgrind to comment-only job

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

* changes from code review

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

* linting

* issue comments too

* remove issue_comment
Co-authored-by: Guolin Ke <guolin.ke@outlook.com>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

[R-package] Fix incorrect num_iterations, early_stopping_round in saved models (fixes #2208, #2468) (#3368)

* params to string

* add tests

* more  tests

* stop skipping training continuation test (fixes #2468)

* remove unnecessary code

* [R-package] remove unused code and comments

* put check back

* other typos

* [R-package] started implementing first_metric_only

* trying stuff

* more changes

* fixed handling of multiple metrics

* fixed tests

* remove duplicate tests

* get training tests

* fixes for lgb.cv()

* fixes for lgb.cv()

* fix linting

* use integer type for handle

* Apply suggestions from code review

* fix 64bit handle

simplify start_iteration param for predict in Python and some code cleanup for start_iteration (#3288)

* simplify start_iteration param for predict in Python and some code cleanup for start_iteration

* revert docs changes about the prediction result shape

* [python] add start_iteration to python predict interface (#3058)

* Apply suggestions from code review

* Update lightgbm_R.h

* Apply suggestions from code review

* Apply suggestions from code review

* fix R interface

* update R documentation
Co-authored-by: Guolin Ke <guolin.ke@outlook.com>

* [R-package] improvements to lgb.convert() functions (fixes #2678, #2681)

* more stuff

* update docs

* remove lgb.convert()

* put internal functions back

* update index

* Update multiclass_objective.hpp

* Apply suggestions from code review

* Update src/objective/multiclass_objective.hpp

* Apply suggestions from code review

* Update test_basic.R

* Update test_basic.R

* Update src/objective/multiclass_objective.hpp
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Apply suggestions from code review
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* [R-package] fix early_stopping_round <= 0

* linting

* [R-package] deprecate lgb.prepare() and lgb.prepare2()

* linting

* renaming

* updated docs

* linting

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

* one more comment fix

* remove comment about int being dangerous

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

* [R-package] Add tests on lgb.check.eval, lgb.unloader, and lgb.encode.char

* remove accidental test file

* regenerated docs

* [ci] remove unnecessary R_CHECK_FORCE_SUGGESTS in CI scripts

* remove unused test data

* [R-package] add test on importance types

* linting

* Add interaction constraints functionality.

* Minor fixes.

* Minor fixes.

* Change lambda to function.

* Fix gpu bug, remove extra blank lines.

* Fix gpu bug.

* Fix style issues.

* Try to fix segfault on MACOS.

* Fix bug.

* Fix bug.

* Fix bugs.

* Change parameter format for R.

* Fix R style issues.

* Change string formatting code.

* Change docs to say R package not supported.

* Refactor check_interaction_constraints into separate function, add validation.

* Fix error messages.

* Add tests.

* Update docs.

* Fix tests, minor refactoring.

* Fix style issues.

* Fix R style issue.

* Remove old code.

* Fix existing test and add new one.

* Fix R lint error.

* [R-package] fix R CMD check NOTE about leftover files

* update number of allowed notes

* Turn matrix to storage mode "double"

* added "test_Predictor.R" to R tests with check for integer storage mode during prediction

* Explicit integers in test_Preditor to avoid TravisCI failure

* properly aligning comment on storage.mode
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* split double assignment into two lines
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* [R-package] fix issue where early stopping thinks higher MAPE is desirable (fixes #3099)

* fix linting

* only use main metrics

* fix tests

[R-package] fixed best_iter and best_score when training data is passed (fixes #2295, #2525) (#2961)

* [R-package] fixed best_iter and best_score when early_stopping is not used (fixes #2295)

* fixed tests