GitLab

* allow python sklearn interface's fit() to pass init_model to train()

* Fix whitespace issues, and change ordering of parameters to be backward
compatible

* Formatting fixes

* allow python sklearn interface's fit() to pass init_model to train()

* Fix whitespace issues, and change ordering of parameters to be backward
compatible

* Formatting fixes

* Recognize LGBModel objects for init_model

* simplified condition

* updated docstring

* added test

* LightGBM would hang on MPI run if only some nodes have a fatal error. The issue is that the destructor of Application calls MPI_Finalize(), which will cause the program to hand and prevent from exiting. So we move the network finalization out of the destructor and call MPI_Finalize() or MPI_Abort() based on whether there was an unhandled exception.

* Minor updates: Remove excess debug logging, whitespaces.

* Add comments for new functions.

* fix compile warning for HDFS version

* cast to size_t

* updated instructions in examples to match one from ranking example

* removed excess new line

- Add reference to documentation on the query data format.
- Refer readers to the official install instructions.
- Change command to use relative path to the `lightgbm` binary built at
the project's root when following build instructions.

Many issues actually are not bugs..

* Added more linters on R code

* started working on implicit integers

* finished style changes to handle implicit integers

* regenned documentation and added concatenation linter

* changed channel for r-lintr

* try building stringi before lintr

* trying to get libicui18n

* trying another thing

* trying conda-forge again

* added re-install of stringi

* uncommented other stages

* Update .ci/test.sh
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* removed apt update and changed lintr version floor

* get lintr from CRAN

* R needs to come before C++ linting

* testing lintr install from CRAN

* trying one more thing

* more verbose

* order might matter

* removed commented code

* cleaned up linting block in test.sh

* grouped conda install calls and fixed a few integer array things

* Fix build error when HDFS is enabled.

* Replace string with char array to eliminate cpplint.

* added <algorithm> to parser header

* reordered inputs per style guide

Fix #2564

[Java] MMLSPARK-ISSUE-720 - Create SWIG version of BoosterDumpModel that returns string to be used in Java (#2560)

* speed up tests

* more updates

* fixed pylint

* updated tests

* Update test_sklearn.py

* test that indices are sorted internally