GitLab

* 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

* add @property to sklearn interface

* add deprecated; fix binary_metric

This commit fixes https://github.com/Microsoft/LightGBM/issues/154#issuecomment-269908741.

1. add csc support
2. some data type from float to double

add learning rate to dart (#133)

Provide a high level Dataset class for easy use.

* add feature importances in python; add pandas support

* solve best_iteration issue