GitLab

* improve experience with optional GitHub workflows

* Update README.md

* Update r_artifacts.yml

* Update optional_checks.yml

* continue

* Update triggering_comments.yml

* Update README.md

* Update r_artifacts.yml

* Update r_artifacts.yml

* Update r_artifacts.yml

* Update r_valgrind.yml

* Update r_artifacts.yml

* Update r_valgrind.yml

* Update r_valgrind.yml

* Update r_valgrind.yml

* add docstrings to fix lint

* better formatting for multi-line commands

* [ci] move CI jobs from Travis to Azure DevOps (fixes #3519)

* comment out other CIs to avoid wasting cycles

* try without docker

* add container back

* stop using --user in pip install

* run check-docs and lint without container

* job names

* move more jobs to Azure-hosted Linux pool

* fix PATH for check-docs

* uncomment other CI

* uncomment windows

* remove uses of maxParallel

* try moving macos-latest jobs to GitHub Actions

* fix config

* fix missing conda env

* set Python version

* remove commented-out code

* add more to GitHub Actions

* try to fix GPU

* remove static_analysis to prevent conflicts with #3726

* change workflow name

* try using ubuntu:latest docker

* fix conda

* trying to find where permissions first break

* add workaround for sudo

* please azure please

* image syntax

* more sudo

* noninteractive

* LC_ALL

* more  sudo

* more stuff

* CONDA dir

* paths

* get path

* missing CONDA

* fix path stuff

* more tests

* fix graphviz

* stuff

* more graphviz

* install xorg-libxau

* graphviz works, run more jobs

* stuff

* enable more tests

* uncomment GitHub Actions

* uncomment all other CIs

* Apply suggestions from code review
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* add travis.yml to Rbuildignore

* add Rbuildignore rule for fmt

* add libomp for clang builds

* changes from code review
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* DOC: add conda-forge install instructions

* DOC: add conda-forge instructions

* DOC: fix hyperlink

* DOC: point to installation guide

* add detailed

* Update python-package/README.rst
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Update python-package/README.rst
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* rm characters

* add pip install

* add :

* Update python-package/README.rst
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* Update python-package/README.rst
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* remove pip from header

* channel
Co-authored-by: James Lamb <jaylamb20@gmail.com>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* [ci] move Python Mac jobs from Travis to GitHub Actions

* alphabetize

* fix workflow

* fix name

* fix os

* new workflow

* Apply suggestions from code review
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* changes from code review

* swap compilers

* swap compilers back

* Apply suggestions from code review
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* Update .github/workflows/python_package.yml
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* replace file extensions in docs during Sphinx build

* Update .travis.yml

* Update .travis.yml

* Update conf.py

* fix lint

* fix lint

* [ci] Move check-docs and lint jobs off Travis

* Apply suggestions from code review
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* try moving check-docs into a containerized job

* add install flag and README badge

* trying to find the error

* ignore pipefail

* remove -e

* Apply suggestions from code review
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* more changes

* additional changes

* Update .github/workflows/static_analysis.yml

* Update README.md
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* move constants
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

Co-authored-by: jingwei.su <jingwei.su@hulu.com>

* Fix compiler warnings caused by implicit type conversion

* Fix more warnings

* Fix more warnings

* Fix monotone constraint bug where split does not fulfill constraints.

* Fix indent.

* add explicit return statement to functions in callback.R

* add explicit return statement to functions in lgb.Booster.R

* add explicit return statement to functions in lgb.Dataset.R

* add explicit return statement to functions in lgb.Predictor.R

* add explicit return statement to functions in lgb.cv.R

* add explicit return statement to functions in lgb.interprete.R

* add explicit return statement to functions in lgb.plot.importance.R

* add explicit return statement to functions in saveRDS.lgb.Booster.R

* add explicit return statement to functions in utils.R

* add explicit return statement to functions in lgb.plot.interpretation.R

* add explicit return statement to functions in build_r.R

* fix typo

* return(self) -> return(invisible(self))

* fix some inconsistent indention

* fix test failure

* add another return() statement

* fix linting errors

* comment out flaky MinGW job for R

* remove instead of comment out

* [R-package] add support for non-ASCII feature names (fixes #2983)

* fix Windows

* [R-package] remove broken default file in readRDS / saveRDS functions

* empty commit

* [R-package] allow access to params in Booster

* remove unnecessary whitespace

* fix test on resetting params

* remove pytest_cache

* Update R-package/tests/testthat/test_custom_objective.R

Compile warnings have been fixed

* try to fix valgrind checks

* fix redirection

* uncomment other CIs

* [python-package] remove unused Eigen files (fixes #3684)

* more changes

* add EIGEN_MPL2_ONLY in VS solution file

* fix VS project

* remove EIGEN_MPL2_ONLY define in linear_tree_learner
Co-authored-by: Nikita Titov <nekit94-12@hotmail.com>

* [docs] add doc on min_data_in_leaf approximation (fixes #3634)

* Fix capital letter
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* small code and docs refactoring

* Update CMakeLists.txt

* Update .vsts-ci.yml

* Update test.sh

* continue

* continue

* revert stable sort for all-unique values

* speed up files downloading for Windows CI

* run CI

* revert changing CI branch

* Add Eigen library.

* Working for simple test.

* Apply changes to config params.

* Handle nan data.

* Update docs.

* Add test.

* Only load raw data if boosting=gbdt_linear

* Remove unneeded code.

* Minor updates.

* Update to work with sk-learn interface.

* Update to work with chunked datasets.

* Throw error if we try to create a Booster with an already-constructed dataset having incompatible parameters.

* Save raw data in binary dataset file.

* Update docs and fix parameter checking.

* Fix dataset loading.

* Add test for regularization.

* Fix bugs when saving and loading tree.

* Add test for load/save linear model.

* Remove unneeded code.

* Fix case where not enough leaf data for linear model.

* Simplify code.

* Speed up code.

* Speed up code.

* Simplify code.

* Speed up code.

* Fix bugs.

* Working version.

* Store feature data column-wise (not fully working yet).

* Fix bugs.

* Speed up.

* Speed up.

* Remove unneeded code.

* Small speedup.

* Speed up.

* Minor updates.

* Remove unneeded code.

* Fix bug.

* Fix bug.

* Speed up.

* Speed up.

* Simplify code.

* Remove unneeded code.

* Fix bug, add more tests.

* Fix bug and add test.

* Only store numerical features

* Fix bug and speed up using templates.

* Speed up prediction.

* Fix bug with regularisation

* Visual studio files.

* Working version

* Only check nans if necessary

* Store coeff matrix as an array.

* Align cache lines

* Align cache lines

* Preallocation coefficient calculation matrices

* Small speedups

* Small speedup

* Reverse cache alignment changes

* Change to dynamic schedule

* Update docs.

* Refactor so that linear tree learner is not a separate class.

* Add refit capability.

* Speed up

* Small speedups.

* Speed up add prediction to score.

* Fix bug

* Fix bug and speed up.

* Speed up dataload.

* Speed up dataload

* Use vectors instead of pointers

* Fix bug

* Add OMP exception handling.

* Change return type of LGBM_BoosterGetLinear to bool

* Change return type of LGBM_BoosterGetLinear back to int, only parameter type needed to change

* Remove unused internal_parent_ property of tree

* Remove unused parameter to CreateTreeLearner

* Remove reference to LinearTreeLearner

* Minor style issues

* Remove unneeded check

* Reverse temporary testing change

* Fix Visual Studio project files

* Restore LightGBM.vcxproj.filters

* Speed up

* Speed up

* Simplify code

* Update docs

* Simplify code

* Initialise storage space for max num threads

* Move Eigen to include directory and delete unused files

* Remove old files.

* Fix so it compiles with mingw

* Fix gpu tree learner

* Change AddPredictionToScore back to const

* Fix python lint error

* Fix C++ lint errors

* Change eigen to a submodule

* Update comment

* Add the eigen folder

* Try to fix build issues with eigen

* Remove eigen files

* Add eigen as submodule

* Fix include paths

* Exclude eigen files from Python linter

* Ignore eigen folders for pydocstyle

* Fix C++ linting errors

* Fix docs

* Fix docs

* Exclude eigen directories from doxygen

* Update manifest to include eigen

* Update build_r to include eigen files

* Fix compiler warnings

* Store raw feature data as float

* Use float for calculating linear coefficients

* Remove eigen directory from GLOB

* Don't compile linear model code when building R package

* Fix doxygen issue

* Fix lint issue

* Fix lint issue

* Remove uneeded code

* Restore delected lines

* Restore delected lines

* Change return type of has_raw to bool

* Update docs

* Rename some variables and functions for readability

* Make tree_learner parameter const in AddScore

* Fix style issues

* Pass vectors as const reference when setting tree properties

* Make temporary storage of serial_tree_learner mutable so we can make the object's methods const

* Remove get_raw_size, use num_numeric_features instead

* Fix typo

* Make contains_nan_ and any_nan_ properties immutable again

* Remove data_has_nan_ property of tree

* Remove temporary test code

* Make linear_tree a dataset param

* Fix lint error

* Make LinearTreeLearner a separate class

* Fix lint errors

* Fix lint error

* Add linear_tree_learner.o

* Simulate omp_get_max_threads if openmp is not available

* Update PushOneData to also store raw data.

* Cast size to int

* Fix bug in ReshapeRaw

* Speed up code with multithreading

* Use OMP_NUM_THREADS

* Speed up with multithreading

* Update to use ArrayToString

* Fix tests

* Fix test

* Fix bug introduced in merge

* Minor updates

* Update docs

* migrated implementation from dask/dask-lightgbm

* relaxed tests

* tests skipped in case that MPI is used

* fixed python 2.7 import + tests disabled on windows

* python < 3.6 is not supported in tests

* tests enabled only for linux

* tests disabled for mpi interface

* dask version pinned to >= 2.0

* added @jameslamb as code owner

* added missing pandas dependency

* code refactoring, removed code duplication - lightgbm.dask.LGBMClassifier.fit is the same as lightgbm.dask.LGBMRegressor.fit

* fixed refactoring

* code deduplication - fit method moved into mixin class

* fixed CODEOWNERS

* removed unnecessary import

* skip the module execution on python < 3.6 and on platform different than linux.

* removed skip for python < 3.6

* review comments

* removed noqa, renamed API classes, renamed local variables