GitLab

* allow using feature names when retrieving number of bins

* unname vector

* use default feature names when not defined

* lint

* apply suggestions

* remove extra comma

* add test with categorical feature

* make feature names sync more transparent

[R-package] allow use of `categorical_features` in Dataset when raw data does not have column names (fixes #4374) (#5184)

* check for number of columns if data is matrixx for categorical indices check

* check for error when using a greater index than the number of columns

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

* revert whitespace change

* check if is filename instead of matrix
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* expose FeatureNumBin in C api

* parametrize min_data_in_bin and add test with max_bin_by_feature

* include feature_num_bin in R package

* add suggestion from review
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* update error message and lint

* lint

* add call method

* minor improvements in tests

* add suggestions from review

* lint

* rename argument to feature in python and r packages
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* [R-package] reduce verbosity in tests using lgb.train()

* Update R-package/tests/testthat/test_lgb.Booster.R

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

* remove all dots

* update documentation

* [R-package] remove Dataset getinfo()

* fix docs

* [R-package] remove Dataset setinfo()

* revert unintended docs changes

* fix examples

* revert FAQ changes

* empty commit

* [R-package] fix segfaults caused by missing Booster and Dataset handles (fixes #4208)

* fix test errors

* fixes for cpplint

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

* fix tests

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

* move asserts inside try-catch
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* [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] avoid unnecessary computation in Dataset set_reference() method

* re-arrange conditions

* do more validation upfront and add tests

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

* Update R-package/tests/testthat/test_dataset.R
Co-authored-by: Nikita Titov <nekit94-12@hotmail.com>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* [R-package] preserve uses of '...' in Dataset slice() method

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

* [R-package] move more finalizer logic intoo C++ side

* add C finalizers

* use gc()

* put skip() back

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

* started converting handles

* more changes

* sort of working for Dataset

* yay all the tests are passing for Dataset handle changes

* working for other handle types

* remove debugging logging

* remove unnecessary spaces

* fix null logic

* more NULL

* updates

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

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

* [R-package] move creation of character vectors in some methods to C++ side

* convert LGBM_BoosterGetEvalNames_R

* convert LGBM_BoosterDumpModel_R and LGBM_BoosterSaveModelToString_R

* remove debugging code

* update docs

* remove comment

* add handling for larger model strings

* handle large strings in feature and eval names

* got long feature names working

* more fixes

* linting

* resize

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

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

* [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

* 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>

* 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>

* use integer type for handle

* Apply suggestions from code review

* fix 64bit handle

* [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>

* 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>

* 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

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

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

* 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

* finish R's c_api

* clean code

* fix sizeof pointer in 32bit system.

* add predictor class

* add Dataset class

* format code

* add booster

* add type check for expose function

* add a simple callback

* add all callbacks

* finish the basic training logic

* update docs

* add an simple training interface

* add basic test

* adapt the changes in c_api

* add test for Dataset

* add test for custom obj/eval functions

* fix python test

* fix bug in metadata init

* fix R CMD check