GitLab

* fixed xcode version

* fixed brew on Travis

* fixed brew on Azure Pipelines

add boost header files compute/ into build_r.R to enable GPU compilation

* added get_data method

* hotfix

* added warning for other data types

* reworked according to review comments

* minor addition to FAQ

* added test

* [python] fix creating train_set in fit

https://github.com/Microsoft/LightGBM/blob/cc99f0d36ae929eb02b22a072823ab7c6d3155ab/python-package/lightgbm/sklearn.py#L519
may False even if valid_data[0] is X and valid_data[1] is y actually, because `check_X_y` might return copy of X and y.
https://scikit-learn.org/0.20/modules/generated/sklearn.utils.check_X_y.html

cf. https://github.com/Microsoft/LightGBM/pull/451

* use assertIn

* fix RF's bugs

* fix tests

* rollback num_iterations

* fix a bug and reduce memory costs

* reduce memory cost

Init has been updated to allow for feature_fraction == 1.0f but the change has not been copyed in the ResetConfig function.

* disabled early stopping in dart mode

* check dart mode during the init phase of early_stop callback

* [CPP] disable early stopping in dart

* fix compile error

* added download artifacts badge

* hotfix

* store badge images locally

* explicitly set the order

* add free booster in lgb.cv

* change to reset_data

* updated external repos section in README

* added SHAP

[ci][docs] updated temp fix for warning written to stderr, fixed conda permissions and updated bench link (#1849)

* Update .appveyor.yml

* updated bench link (404)

* fixed conda permission error on Azure

* use stable container

* Update Dockerfile

* Update Dockerfile

* chmod conda folder

[ci][python] fall back to producing one wheel for macOS and drop support of OSX 10.6 and 10.7 (#1826)

* Update VERSION.txt

* Update .appveyor.yml

* Update DESCRIPTION

* Update DESCRIPTION

* Update DESCRIPTION

* Update DESCRIPTION

* Fix index out-of-range exception generated by BaggingHelper on small datasets.

Prior to this change, the line "score_t threshold = tmp_gradients[top_k - 1];" would generate an exception, since tmp_gradients would be empty when the cnt input value to the function is zero.

* Update goss.hpp

* Update goss.hpp

* updated fix for macOS on Travis

* hotfix

* execute notebooks on CIs

* run notebooks in interactive mode and increase timeout for MinGW

* hotfix alphabetically sort packages installation