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* [R-package] [docs] clarify shape of predictions

* Apply suggestions from code review
Co-authored-by: Michael Mayer <mayermichael79@gmail.com>

* regenerate docs

* apply suggestions from code review

* fix linting error abouut long lines
Co-authored-by: Michael Mayer <mayermichael79@gmail.com>

* docs: typo in documentation of parameter init_model

* docs: actually fix typo and build docs
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* switch to single prediction type argument

* linter

* missing piece of code

* comments

* linter

* fix test

* revert incorrect 'fix'

* fix failing test

* fix test again

* modify recently introduced tests after changes here

* rename prediction types

* rebase

* restore tests for prediction type in params

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

* [R-package] [docs] document difference between lightgbm() and lgb.train() (fixes #5203)

* clarify language

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

* [R-package] stop automatically calculating eval metrics on training data in lightgbm()

* update docs

* update docs

* roxygen cares about line breaks

* [R-package] remove lgb.unloader()

* update version reference

* fix predict() params

* [R-package] ensure values in params override keyword arguments to predict() (fixes #4670)

* revert accidentally-introduced unrelated test changes

* Update R-package/tests/testthat/test_Predictor.R
Co-authored-by: José Morales <jose.morales@kavak.com>

* Update R-package/tests/testthat/test_Predictor.R
Co-authored-by: José Morales <jose.morales@kavak.com>

* linting

* remove nammes in shap test

* changes to tests
Co-authored-by: José Morales <jose.morales@kavak.com>

* change prediction default to reshape=TRUE

* remove reshape argument

* comments

[R-package] Promote number of threads to top-level argument in `lightgbm()` and change default to number of cores (#4972)

* rename weight -> weights

* add test for 'weights' argument

* Update R-package/R/lightgbm.R

* update docs
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Update lightgbm.R

* Update lightgbm.Rd

* promote objective and init_score to top-level arguments

* follow comments

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

* update docs

* linter

* comments

* comments

* comments

* extend test for default objective

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

* do not produce model files on disk by default

* remove 'save_name' argument from 'lightgbm()'

* added argument eval_train_metric

* remove unnecessary whitespace

* removed further trailing whitespace

* move new argument to the last position

* update R docu

* unit tests for eval_train_metric

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

* [R-package] remove support for '...' in slice()

* remove all dots

* update documentation

* [R-package] remove warning about uses of '...' in dim.lgb.Dataset()

* remove '...'

* [R-package] remove support for '...' in lgb.train()

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

* [R-package] remove support for '...' in create_valid()

* remove importFrom

* [R-package] remove Dataset getinfo()

* fix docs

* [R-package] remove support for '...' in lgb.cv()

* empty commit

* [R-package] remove Dataset setinfo()

* revert unintended docs changes

* fix examples

* revert FAQ changes

* empty commit

* [R-package] remove support for '...' in predict()

* restore ... in S3 method

[R-package] enable saving Booster with saveRDS() and loading it with readRDS() (fixes #4296) (#4685)

* idiomatic serialization

* linter

* linter, namespace

* comments, linter, fix failing test

* standardize error messages for null handles

* auto-restore handle in more functions

* linter

* missing declaration

* correct wrong signature

* fix docs

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

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

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

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

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

* move 'restore_handle' from feature importance to dump method

* missing header

* move arguments order, update docs

* linter

* avoid leaving files in working directory

* add test for save_model=NULL

* missing comma

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

* Update R-package/src/lightgbm_R.cpp
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* change name of error function

* update comment

* restore old serialization functions but set as deprecated

* Update R-package/R/readRDS.lgb.Booster.R
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* Update R-package/R/saveRDS.lgb.Booster.R
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* update docs

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

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

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

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

* comments

* fix variable name

* restore serialization test for linear models

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

* update docs

* fix issues with null terminator
Co-authored-by: James Lamb <jaylamb20@gmail.com>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* add print and summary S3 method

* correct wrong signature

* attempt at bypassing linter

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

* Update R-package/src/lightgbm_R.h
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Update include/LightGBM/c_api.h
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* add more tests

* linter

* don't pluralize single tree

* remove duplicated function

* update changed function name

* missing declaration

* Update lightgbm_R.h

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

* accommodate custom objectives in print

* linter

* linter
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* [R-package] introduce Dataset set_field() and get_field()

* fix incorrect fields

* update pkgdown

* fix example

* fix another example

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

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

* [R-package] introduce keyword arguments for Dataset properties

* adding examples

* trying to fix loading issues

* add check on use of info and fix examples

* eliminate one '...'

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

* Update R-package/R/lgb.Dataset.R

* Dataset get_params() is public
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* [R-package] fix warnings in examples

* fix silently-ignored parameter

* [R-package] add deprecation warnings on uses of '...' in predict()

* add importFrom(utils, modifyList) in NAMESPACE

[docs] Clarify the fact that predict() on a file does not support saved Datasets (fixes #4034) (#4545)

* documentation changes

* add list of supported formats to error message

* add unit tests

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

* update per review comments

* make references consistent
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

Co-authored-by: Nikita Titov <nekit94-12@hotmail.com>

* [R-package] avoid unnecessary computation of std deviations in lgb.cv()

* use expect_equal()

* [R-package] clarify parameter documentation

* fixes to braces

* linting