GitLab

* use int64 for string

* [R] Fatal when CSC exceed int32.max

* add network apis.

* support parallel loading dataset in c api.

* fix bug

* fix bug

* thread local for the network interface.

* fix bug.

* expose feature importance to c_api

* support type=gain

* remove dump model from examples and tests temporarily because it's unstable

* use double instead of float

* Explain individual predictions using SHAP value feature attributions

* Address code review

* 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 early stopping for prediction

* Fix GBDT if-else prediction with early stopping

* Small C++ embelishments to early stopping API and functions

* Fix early stopping efficiency issue by creating a singleton for no early stopping

* Python improvements to early stopping API

* Add assertion check for binary and multiclass prediction score length

* Update vcxproj and vcxproj.filters with new early stopping files

* Remove inline from PredictRaw(), the linker was not able to find it otherwise

* expose save model to string to c_api

* add 'save-model-to-string' to python; use it to copy model

* remove boosting_type

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

Categorical feature support (#108)

1. merge python-package
2. add dump model to json
3. fix bugs
4. clean code with pylint
5. update python examples

change static std::string to static char[]. (refer to https://google.github.io/styleguide/cppguide.html#Static_and_Global_Variables)