GitLab

* [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>

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

* Update metadata.cpp

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

* Update lgb.Booster.R

* [R-package] removed TODOs in code

* [ci] added to-do to TODO comment linter

* 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>

* Fix bug where small values of max_bin cause crash.

* Revert "Fix bug where small values of max_bin cause crash."

This reverts commit fe5c8e2547057c1fa5750bcddd359dd7708fab4b.

* Add auc-mu multiclass metric.

* Fix bug where scores are equal.

* Merge.

* Change name to auc_mu everywhere (instead of auc-mu).

* Fix comparison between signed and unsigned int.

* Change name to AUC-mu in docs and output messages.

* Improve test.

* Use prefix increment.

* Update R package.

* Fix style issues.

* Tidy up test code.

* Read all lines first then process.

* Allow passing AUC-mu weights directly as a list in parameters.

* Remove unused code, improve example and docs.

* Added more linters on R code

* started working on implicit integers

* finished style changes to handle implicit integers

* regenned documentation and added concatenation linter

* changed channel for r-lintr

* try building stringi before lintr

* trying to get libicui18n

* trying another thing

* trying conda-forge again

* added re-install of stringi

* uncommented other stages

* Update .ci/test.sh
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* removed apt update and changed lintr version floor

* get lintr from CRAN

* R needs to come before C++ linting

* testing lintr install from CRAN

* trying one more thing

* more verbose

* order might matter

* removed commented code

* cleaned up linting block in test.sh

* grouped conda install calls and fixed a few integer array things

* fixed miscellaneous typos in documentation

* fix typo introduced in typo-fixing PR

* R docs cleanup

* regenerated R documentation files

* added R-package docs generation routines

* change theme to be more consistent with sphinx_rtd_theme on main site in terms of color scheme

* placed man folder with old Rd files back

* specify full path to conda and make script more readable by one line - one pkg

* removed commented lines from build_r_site script

* made one line - one argument in build_reference() call

* pin R package versions

* fixed conflict

* Callback for NA handling

* lgb.Booster default score => NA

* lgb.cv default best score => NA

* Fix back callback

* lgb.train with booster check at the end

manual tests done: 
* With early stopping + with validation set
* With early stopping + without validation set
* Without early stopping + with validation set
* Without early stopping + without validation set

And with multiple metrics / validation sets.

* lgb.cv with booster check at the end

manual tests done: 
* With early stopping + with validation set
* With early stopping + without validation set
* Without early stopping + with validation set
* Without early stopping + without validation set

And with multiple metrics / validation sets.

* add warnings for override parameters of Dataset

* fix pep8

* add feature_penalty

* refactor

* add R's code

* Update basic.py

* Update basic.py

* fix parameter bug

* Update lgb.Dataset.R

* fix a bug

* add free booster in lgb.cv

* change to reset_data

* [R-package] removed horizontal whitespace (fixes #1642)

* [R-package] fixed missing newline in test file

* Help fixing #1540

* Handle character matrix corner case

* Update with recommendation in #1638

* Fixed typos in docs

* Fixed inconsistencies in documentation

* Updated strategy for registering routines

* Fixed issues caused by smashing multiple functions into one Rd

* Fixed issues with documentation

* Removed VignetteBuilder and updated Rbuildignore

* Added R build artefacts to gitignore

* Added namespacing on data.table set function. Updated handling of CMakeLists file to get around CRAN check.

* Updated build instructions

* Added R build script

* Removed build_r.sh script and updated R-package install instructions

* bring consistency and clearness into early_stopping_rounds desc, metric desc and implementation

* hotfix

* hotfix

* used NDCG as default metric for lambdarank task

* fixed missed methods at ReadTheDocs and changed default eval_metric

* leaved only unique metrics

* fixed comment

* added new aliases for params

* run helper/parameter_generator.py

* removed useless test

* Fix lgb.Dataset construct issue with 1:n sequence in R v 3.5

* Add tests for feature penalties

The document of `early_stopping_rounds` says it will check all of
eval_set. But, this is not true. It doesn't check the dataset
specified as the training data.

This change appends an extra phrase "except the training data" to all
of the sentences "If there's more than one, will check all of them" in
documents.

* Bump R version

* Bump CLI/Py version

* Roll back to 2.1.1 in R

* Fix Microsoft/LightGBM#1280