GitLab

* using different version for master branch with release

* Update .travis.yml

* Update .travis.yml

* Update VERSION.txt

* Update DESCRIPTION

* Update .appveyor.yml

* Update .appveyor.yml

* Update DESCRIPTION

* Update VERSION.txt

* Update .appveyor.yml

* Update DESCRIPTION

* Update VERSION.txt

* Update DESCRIPTION

* 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

* Bump R version

* Bump CLI/Py version

* Roll back to 2.1.1 in R

* Fix Microsoft/LightGBM#1280

* Add authors Microsoft/LightGBM#1260

* Add line break at the end of file

* Fixed misc CRAN issues

* Added additional details to R-package DESCRIPTION

* many fixes for categorical feature

* add l2 to categorcial split.

* remove useless file

* update version

* add cat_l2

* update appveyor verison

* remove file

* fix tests.

* change default cat_l2 value

* fix a bug in bin finder

* change default cat_smooth_ratio

* 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 lgb.prepare

* Update roxygen to 6.0.1 and add lgb.prepare

* Add prepared rules.

* Add recommendation when needing rules for transformation.

* Add lgb.Booster parsing function

* Add data.table, magrittr, jsonlite to Imports

* 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