GitLab

* Reorganize documentation references

* Fix R-package link name

* Explain individual predictions using SHAP value feature attributions

* Address code review

* Update Parameters.md

More readable "num_iterations" description.

* Update Parameters.md

Modified `num_iterations` description, in accordance with the review.

* Update Parameters.md

Modified "Parameters.md" in accordance with the review. 
More explicitly saying that "num_boost_round" is an input argument of the method (not a parameter, passed through the dict).

* finish the data loading part

* allow prediction.

* fix bug for decision type.

* finish split finding part

* fix bugs.

* bug fixed. add a test .

* fix pep8 .

* update documents.

* fix test bugs.

* fix a format

* fix import error in python test.

* disable missing handle in categorial features.

* fix a bug.

* add more tests.

* fix pep8

* fix bugs.

* remove the missing handle code for categorical feature.

https://github.com/Microsoft/LightGBM/issues/705#issuecomment-315976423

* add draft of RF.

* fix score bugs.

* fix scores.

* fix tests.

* update document

* fix GetPredictAt

* 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 .

* Add Intel OpenCL warning

* Fix Microsoft/LightGBM#503

* Fix #89 + #446 + #484 (doc warning)

* Add external links and some news

* Add interactive parameters link

* fix GPU Windows for Read The Docs

* GPU Targets read the docs fix

* RMSE (L2) -> MSE (true L2)

* Remove sqrt unneeded reference

* Square L2 test (RMSE to MSE)

* No square root on test

* Attempt to add RMSE

* many refactors.

* remove multi_loglossova.

* fix tests.

* avoid using lambda function.

* fix some format.

* reduce branching.

* Support Poisson regression

Close #233

* update docs

http://research.microsoft.com/en-us/um/people/zhang/INRIA/Publis/Tutorial-Estim/node24.html

* Add L1 objective function

* fix hessians

* update

* Add Huber loss

https://en.wikipedia.org/wiki/Huber_loss

* update

* update docs/Parameters.md

* update

add learning rate to dart (#133)