GitLab

* cut size

* more size cuts

* testing install

* fmt is header-only

* Update setup.py

* Update .appveyor.yml

* Update .travis.yml

* Update .vsts-ci.yml

* Update __init__.py

* Update test.sh

* Update test_windows.ps1

* Update advanced_example.py

* Update requirements_base.txt

* Update conf.py

* Update conf.py

* Update test_engine.py

* Update utils.py

* Update dockerfile-r

* Update README.md

* Update dockerfile.gpu

* Update test_consistency.py

* Update basic.py

* Update compat.py

* Update engine.py

* Update sklearn.py

* Update sklearn.py

* Update callback.py

* Update setup.py

* Update __init__.py

* Update plotting.py

* Update sklearn.py

* Update engine.py

* Update compat.py

* Update callback.py

* Update basic.py

* Update compat.py

* Update basic.py

* Update basic.py

* Update compat.py

* Update compat.py

* Update plotting.py

* Update engine.py

* Update basic.py

* Update sklearn.py

* Update compat.py

* Update engine.py

* Update engine.py

* Update callback.py

* Update basic.py

* Update basic.py

* Update basic.py

* Update basic.py

* Update basic.py

* Update sklearn.py

* Update sklearn.py

* Update plotting.py

* Update sklearn.py

* Update compat.py

* Update compat.py

* Update engine.py

* Update plotting.py

* Update sklearn.py

* Update basic.py

* Update basic.py

* Update basic.py

* Update basic.py

* Update compat.py

* Update compat.py

* Update compat.py

* Update engine.py

* Update basic.py

* Update compat.py

* Update basic.py

* Update basic.py

* Update basic.py

* Update compat.py

* Update compat.py

* Update basic.py

* Update basic.py

* Update .vsts-ci.yml

* Update .vsts-ci.yml

* Update conf.py

* Revert "Update dockerfile-r"

This reverts commit 4ff6ffc7e3eeda24cc6a59a3bb0c973f02d9d71c.

* Update VERSION.txt

* Update .appveyor.yml

* update configure and cran-comments
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Update README.md

* Update Parallel-Learning-Guide.rst

* Update Parallel-Learning-Guide.rst

* Fix LightGBM models locale sensitivity and improve R/W performance.

When Java is used, the default C++ locale is broken. This is true for
Java providers that use the C API or even Python models that require JEP.

This patch solves that issue making the model reads/writes insensitive
to such settings.
To achieve it, within the model read/write codebase:
 - C++ streams are imbued with the classic locale
 - Calls to functions that are dependent on the locale are replaced
 - The default locale is not changed!

This approach means:
 - The user's locale is never tampered with, avoiding issues such as
    https://github.com/microsoft/LightGBM/issues/2979 with the previous
    approach https://github.com/microsoft/LightGBM/pull/2891
 - Datasets can still be read according the user's locale
 - The model file has a single format independent of locale

Changes:
 - Add CommonC namespace which provides faster locale-independent versions of Common's methods
 - Model code makes conversions through CommonC
 - Cleanup unused Common methods
 - Performance improvements. Use fast libraries for locale-agnostic conversion:
   - value->string: https://github.com/fmtlib/fmt
   - string->double: https://github.com/lemire/fast_double_parser (10x
      faster double parsing according to their benchmark)

Bugfixes:
 - https://github.com/microsoft/LightGBM/issues/2500
 - https://github.com/microsoft/LightGBM/issues/2890
 - https://github.com/ninia/jep/issues/205

 (as it is related to LGBM as well)

* Align CommonC namespace

* Add new external_libs/ to python setup

* Try fast_double_parser fix #1

Testing commit e09e5aad828bcb16bea7ed0ed8322e019112fdbe

If it works it should fix more LGBM builds

* CMake: Attempt to link fmt without explicit PUBLIC tag

* Exclude external_libs from linting

* Add exernal_libs to MANIFEST.in

* Set dynamic linking option for fmt.

* linting issues

* Try to fix lint includes

* Try to pass fPIC with static fmt lib

* Try CMake P_I_C option with fmt library

* [R-package] Add CMake support for R and CRAN

* Cleanup CMakeLists

* Try fmt hack to remove stdout

* Switch to header-only mode

* Add PRIVATE argument to target_link_libraries

* use fmt in header-only mode

* Remove CMakeLists comment

* Change OpenMP to PUBLIC linking in Mac

* Update fmt submodule to 7.1.2

* Use fmt in header-only-mode

* Remove fmt from CMakeLists.txt

* Upgrade fast_double_parser to v0.2.0

* Revert "Add PRIVATE argument to target_link_libraries"

This reverts commit 3dd45dde7b92531b2530ab54522bb843c56227a7.

* Address James Lamb's comments

* Update R-package/.Rbuildignore
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Upgrade to fast_double_parser v0.3.0 - Solaris support

* Use legacy code only in Solaris

* Fix lint issues

* Fix comment

* Address StrikerRUS's comments (solaris ifdef).

* Change header guards
Co-authored-by: James Lamb <jaylamb20@gmail.com>

Co-authored-by: StrikerRUS <nekit94-12@hotmail.com>

[python][docs] more detailed docs for trees_to_dataframe(), create_tree_digraph(), plot_tree() (#3618)

* [python] more detailed docs for trees_to_dataframe(), create_tree_digraph(), plot_tree()

* fixing warnings

* fix warnings

* undo unnecessary space

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

* single line, better weight descriptions

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

* column names

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

* [ci] [R-package] fix issue with partial argument name matches

* fix partial name matches

* simpler NOTE check

* change conditions

* simplify

* Check max_bin, etc. match config when using binary.

* Check max_bin_by_feature, bin_construct_sample_cnt matching config.

* [docs] update documentation with AUC-mu, average precision

* change formatting

* update lgb.convert_with_rules.R to use keyword arguments

* update lgb.cv.R to use keyword arguments

* update lgb.importance.R to use keyword arguments

* update lgb.interprete.R to use keyword arguments

* update lgb.plot.interpretation.R to use keyword arguments

* update more internal function calls to use keyword arguments

* update more internal function calls to use keyword arguments

* construct dataset earlier in lgb.train and lgb.cv

* Update R-package/tests/testthat/test_dataset.R
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Update R-package/R/lgb.cv.R
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Update R-package/R/lgb.train.R
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Update R-package/tests/testthat/test_dataset.R
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* fixing lint issues

* styling updates

* fix failing test
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* [R-package] {lightgbm} is now available on CRAN (fixes #629)

* more cleanup

* remove precompiled binaries section

* Update README.md

* Update README.md

* Update README.rst

* update lgb.Dataset.R to use keyword arguments

* minor adjustment

* Update R-package/R/lgb.Dataset.R
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* fix linting error

* Update R-package/R/lgb.Dataset.R
Co-authored-by: James Lamb <jaylamb20@gmail.com>
Co-authored-by: Nick Zeng <361304605@qq.com>
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* [R-package] Use command-line args to customize CMake builds (fixes #2441)

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

* [R-package] use as.factor() instead of factor() in lgb.cv()

* comment out CIs

* Revert "comment out CIs"

This reverts commit fabaf9a92b7c3df4ed0fdd8d67cbc85a2fb18f47.

* empty commit

* use keyword arguments

* minor style adjustment

* Update R-package/R/lgb.model.dt.tree.R
Co-authored-by: James Lamb <jaylamb20@gmail.com>
Co-authored-by: zenggyu <zenggyu@foxmail.com>
Co-authored-by: James Lamb <jaylamb20@gmail.com>

Co-authored-by: Мартынов Максим Сергеевич <msmarty5@mts.ru>

* Refactor c_api.cpp with template code

* Further cleanup

* Fix whitespace for linter

* [refactor] SWIG - Split pointer manipulation to individual .i file

* Update module docstring

* space

Fix num_total_bin_ and bin_offsets_ of FeatureGroup
if a dense multi val feature group with non zero most freq bin
is the first feature group of the dataset.

* [ci] test 32-bit R in CI

* add R 3.6 Windows CRAN job

* add tests

* fix deterministic, part2

* Apply suggestions from code review

* remove max_block_size_ in train states (fix #3570)

* avoid zero elements per row

* add min constraint for min_block_size_

* [R-package] Remove CLI-only objects

* more guards

* more guards

* variable not string

* simplify fix

* revert build_r.R changes

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