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* Fix lgb.Dataset construct issue with 1:n sequence in R v 3.5

* Add tests for feature penalties

* added missed description of plot_example in python_guide folder and fixed consistency for packages naming

* more reliable OS detection

* fixed grammar

* made pylint happy

2.1.0 -> 2.1.1

The document of `early_stopping_rounds` says it will check all of
eval_set. But, this is not true. It doesn't check the dataset
specified as the training data.

This change appends an extra phrase "except the training data" to all
of the sentences "If there's more than one, will check all of them" in
documents.

* added a note about g++ versions for macOS users

* hotfix excess dot in FAQ

* added notes about gcc version in installation guides

* Bump R version

* Bump CLI/Py version

* Roll back to 2.1.1 in R

* Fix Microsoft/LightGBM#1280

* Update lgb.Booster.R

* Update lgb.Booster.R

* Add authors Microsoft/LightGBM#1260

* Add line break at the end of file

* Fixed misc CRAN issues

* Added additional details to R-package DESCRIPTION

* added code to expose c_api_pred_contrib in the R package

* removed Rprintf

* reverted to previous version of install.libs.R

objective funciton in reset_parameter()

Fixes error algb.params2str to lgb.params2str

* fix the bug

* fix R

* Singlethread make to lower RAM usage significantly

* Update install.libs.R

* fix early stopping edge case

* fix message.

* fix tests

* fix GPU tests.

* updated travis

* renamed OSX->macOS; updated gcc installation on macOS

* updated travis macos installation

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* updated installation guide for macos

* fixed spelling

* renamed appveyor file

* updated Travis

* use int64 for string

* [R] Fatal when CSC exceed int32.max

* Fix Microsoft/LightGBM#1001

* 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