GitLab

* Fixed misc CRAN issues

* Added additional details to R-package DESCRIPTION

* Singlethread make to lower RAM usage significantly

* Update install.libs.R

* Change VS -> MinGW for CRAN

* Documentation to switch to MinGW by default

* Force cmake to run twice

* Try again dual build for Rtools

* Switch to cmake for building twice

* Try with Visual Studio as default, MinGW as fallback

* Try to remove VS appropriately when failing

* Attempt to get rid of build folder first

* Switch to unlink from rm rf

* Change lib_folder correctly when VS fails

* Add README updates from Microsoft/LightGBM@1c8355c

* Update default compiler doc and add GPU online install doc

* Better GPU doc

* add make command to the python package.

* Update README.rst

* Update README.rst

* Update README.rst

* fix tests.

* fix unix build

* update readme

* fix setup.py

* update travis

* Update .travis.yml

* Update test.py

* some fixes.

* check the 64-bit python

* fix build.

* refine MANIFEST.in

* update Manifest.in

* add more build options.

* Add fatal in cmake

* fix a endif.

* fix bugs.

* fix pep8

* add test for the pip package build

* add test pip install in travis.

* fix version with pre-compile dll

* fix readme.rst

* update readme

* Remove paste0 ambiguity for paths

* Fix equal missing typo

* Get rid of all trailing slashes

* readme Helper package for R-package installation

* Fix code indentation bug

* Add warning about default compiler in Windows

* Avoid repeat

* Add Rtools requirement

* Wording to promote VS as default choice for user

* Add some stuff for README

* Bump R package version and fix license

* Attempt to add one additional option and refactor

* Add more review fixes for install.libs.R

* Undo ./../../ removal (path breaking)

* Retry again simple /../

* No print, use cat.

* 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

* fix multi-threading.

* fix name style.

* support in CLI version.

* remove warnings.

* Not default parameters.

* fix if...else... .

* fix bug.

* fix warning.

* refine c_api.

* fix R-package.

* fix R's warning.

* fix tests.

* fix pep8 .

* Update lgb.Booster.R

Added method to call LGBM_BoosterLoadModelFromString_R if model_str is provided for initialization, added option to load from model_str in lgb.load

* Update lightgbm_R.cpp

Adding LGBM_BoosterLoadModelFromString_R

* Update lightgbm_R.cpp

Added LGBM_BoosterSaveModelToString_R

* Update lightgbm_R.cpp

* Update lgb.Booster.R

Added save_model_to_string method

* Update lgb.Booster.R

Implemented @Laurae2 comments

* Update lgb.Booster.R

* Update lightgbm_R.h

Added load and save model from/to string exports

* add scripts for build self-contain R-package in windows.

* add unix build.

* Update README.md

* Added possibility to compile without openmp (useful for clang on Mac)

* Added CMake option to create dylib on MacOS

* 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