GitLab

* Add new task type: "save_binary".

* Document for task "save_binary".

* [ci] move link checking to a cron job

* run once to register

* set PYTHON_VERSION

* actually build docs

* uncomment

* remove stuff

* Update docs/.linkcheckerrc

* condense

* remove PR triggers again

* Update .github/workflows/linkchecker.yml

* move TASK

* Update .readthedocs.yml

* Delete requirements_rtd.txt

* document CUDA version support

* address review comments

* collapse CUDA section in the guide

* remove Clang support from CUDA docs as we have never tested it

* add type hints in dask module

* starting on asserts

* remove unused code

* add hints for dtypes

* replace accidentally-removed docstrings

* revert unrelated change

* Update python-package/lightgbm/dask.py

* empty commit

* fix hints on group

* capitalize array

* hide hints in signatures

* empty commit

* sphinx version

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* fix hint for MatrixLike

* Update python-package/lightgbm/dask.py
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* update docstring

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* initial Dask docs

* fix MRO

* address review comments

* centralize Python-package logging in one place

* continue

* fix test name

* removed unused import

* enhance test

* fix lint

* hotfix test

* workaround for GPU test

* remove custom logger from Dask-package

* replace one log func with flags by multiple funcs

* move all submodules to external_libs folder

* Update .Rbuildignore

* Update MANIFEST.in

* Update .appveyor.yml

* Update CMakeLists.txt

* Update build_r.R

* Update test.sh

* Update setup.py

* Update CMakeLists.txt

* Update test.sh

* Update setup.py

* Update conf.py

* Update MANIFEST.in

* Update LightGBM.vcxproj

* continue

* test

* test

* Update setup.py

* hotfix

* revert CI tests

* fix docs

* Update basic.py

* Update engine.py

* Update .linkcheckerrc

* Update .linkcheckerrc

* [python-package] expand documentation on 'group' for ranking task

* add R package

* update Query Data section

* Apply suggestions from code review
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* fix typo in group example

* regenerate parameters

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* regenerate R docs
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* [R-package] enable use of trees with linear models at leaves (fixes #3319)

* remove problematic pragmas

* fix tests

* try to fix build scripts

* try fixing pragma check

* more pragma checks

* ok fix pragma stuff for real

* empty commit

* regenerate documentation

* try skipping test

* uncomment CI

* add note on missing value types for R

* add tests on saving and re-loading booster

* 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
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* rm characters

* add pip install

* add :

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* Update python-package/README.rst
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* remove pip from header

* channel
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* replace file extensions in docs during Sphinx build

* Update .travis.yml

* Update .travis.yml

* Update conf.py

* fix lint

* fix lint

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

* Fix capital letter
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* small code and docs refactoring

* Update CMakeLists.txt

* Update .vsts-ci.yml

* Update test.sh

* continue

* continue

* revert stable sort for all-unique values

* 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

[docs][ci] added docs about GPU support out of the box for Windows wheels and small refactoring for dual test (#3660)

* added docs about GPU support out of the box for Windows and small refactoring for dual test

* test

* Revert "test"

This reverts commit 45188103c2c9b3773bc62d97fbe865a2e5dd9120.

* fix docs

* fix docs

* hotfix config

* Apply suggestions from code review
Co-authored-by: TP Boudreau <tpboudreau@gmail.com>
Co-authored-by: TP Boudreau <tpboudreau@gmail.com>

* [docs] fix R documentation builds (fixes #3655)

* use RTD config

* [docs] Add details to docs on improving training speed

* formatting

* fix link

* fix formatting

* replace 'performance' with 'accuracy' and mention learning_rate

* Apply suggestions from code review
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* regenerate docs from config.h
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* 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 README.md

* Update Parallel-Learning-Guide.rst

* Update Parallel-Learning-Guide.rst

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

* change formatting

* Update requirements_base.txt

* Update requirements_rtd.txt

* Add note on LightGBM/OpenMP hanging on AWS Batch

* Update docs/FAQ.rst
Co-authored-by: James Lamb <jaylamb20@gmail.com>
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* better document for bin_construct_sample_cnt

* add warnings
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* [ci] fix check-docs error with AMD suppoort website (fixes #3529)

* only check docs

* browser user agent

* ignore AMD in CI

* better config

* better user-agent

* verify

* just drop AMD link

* restore CI

* empty commit

* empty commit

* just use linkchecker

* [R-package] [docs] fix broken plots in pkgdown site (fixes #3276)

* upgrade CMake

* implement

* fix compilation

* Update config.cpp

* unify wordings
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* Add support to optimize for NDCG at a given truncation level

In order to correctly optimize for NDCG@_k_, one should exclude pairs containing both documents beyond the top-_k_ (as they don't affect NDCG@_k_ when swapped).

* Update rank_objective.hpp

* Apply suggestions from code review
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* Update rank_objective.hpp

remove the additional branching: get high_rank and low_rank by one "if".

* Update config.h

add description to lambdarank_truncation_level parameter

* Update Parameters.rst

* Update test_sklearn.py

update expected NDCG value for a test, as it was affected by the underlying change in the algorithm

* Update test_sklearn.py

update NDCG@3 reference value

* fix R learning-to-rank tests

* Update rank_objective.hpp

* Update include/LightGBM/config.h
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* Update Parameters.rst
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