GitLab

* [R-package] make package installable with CRAN toolchain (fixes #2960)

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

* remove GPU stuff

* use wildcard to find objects to build

* use -lomp

* build configure before moving files

* using wildcard for objects

* Update .github/workflows/main.yml
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* add explicit objects back

* reduce allowed R CMD check NOTEs and catch stderr from build-cran-package on Windows

* fixing things

* pin autoconf version

* show diff

* add automake back

* run less checks

* command was in the wrong place

* fix autoconf version

* change strategy for handling configure

* fix Rbuildignore

* fix NOTEs

* fix notes about unrecognized files

* fixing extra files

* remove USE_R35

* add OpenMP check for Mac CRAN build

* run all checks

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

* suggestions from code review

* undo indenting

* remove 03 from Makevars.win.in

* update language about OpenMP in configure script

* checking if configure.ac check works

* add autoconf back

* remove testing code in configure.ac

* more fixes for CI on configure script

* print git diff

* add VERSION.txt when checking configure

* fix relative paths

* remove git diff
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* Fixed misc CRAN issues

* Added additional details to R-package DESCRIPTION

* add R's library file to vs project and cmake.

* support using dll built by vs.

* better search for the library file.

* remove mingw related doc .

* update document.

* Let R handle the library compile.

* try fix build from github.

* Update README.md

* cleaner build.

* fix the install problem in linux.

* Update README.md

* src & callbacks

* lgb.Booster and utils

* cv

* wip lgb.Dataset

* lgb.Dataset

* lgb.Predictor

* lgb.train

* typos

* add flags to facilitate macosx compilation

* fix basic_string template error with clang

* most unfortunate mode of development

* fixup tests

* last test

* roxygen

* roxygen v5.x.x

* 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