GitLab

* refined Travis tests

* refined VSTS Linux part

* cleanup

* added possibility to test Clang at VSTS

* simplified cp command

* refined Appveyor

* run all tests at Appveyor

* refined VSTS Windows part

* return back old MinGW version

* fixed weird MinGW bug

* don't test Python 3.7 at Windows

* disable tree rendering at Appveyor

* give names to scripts in VSTS Windows and artifacts parts

* Fix CI (#1652)

* Update .travis.yml

* Update .appveyor.yml

* only tags for build

* Update .vsts-ci.yml

* Update .vsts-ci.yml

* try to fix nuget

* add exe copy

* Update create_nuget.py

* Update .vsts-ci.yml

* add build folder

* fix build folder

* Update create_nuget.py

* Update create_nuget.py

* Update create_nuget.py

* Update create_nuget.py

* update version to test on nuget.org

* Update .vsts-ci.yml

* Update test.sh

* fix bugs

* many fixes

* remove duplicate lines

* test for mingw

* Not nuget in appveyor

* remove mingw build

* Update test.sh

* Update test.sh

* Update test.sh

* fixed macOS wheel name

* don't run docs test at VSTS

* made nuget creating script directory independent

This reverts commit f0824da3.

* 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