GitLab

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

* fix typo in group example

* regenerate parameters

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

* regenerate R docs
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* [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
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>

* 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
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

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

* regenerate docs from config.h
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

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

* better document for bin_construct_sample_cnt

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

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

* 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
Co-authored-by: Guolin Ke <guolin.ke@outlook.com>

* 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
Co-authored-by: Guolin Ke <guolin.ke@outlook.com>

* Update Parameters.rst
Co-authored-by: Guolin Ke <guolin.ke@outlook.com>
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Implement average precision score

* Fix lint errors

* Change name to average_precision

* Add to R-package list of metrics

* Empty commit to trigger CI jobs

* Change name to average_precision

* No need to pass the tree to all fuctions related to monotone constraints because the pointer is shared.

* Fix OppositeChildShouldBeUpdated numerical split optimisation.

* No need to use constraints when computing the output of the root.

* Refactor existing constraints.

* Add advanced constraints method.

* Update tests.

* Add override.

* linting.

* Add override.

* Simplify condition in LeftRightContainsRelevantInformation.

* Add virtual destructor to FeatureConstraint.

* Remove redundant blank line.

* linting of else.

* Indentation.

* Lint else.

* Replaced non-const reference by pointers.

* Forgotten reference.

* Leverage USE_MC for efficiency.

* Make constraints const again in feature_histogram.hpp.

* Update docs.

* Add "advanced" to the monotone constraints options.

* Update monotone constraints restrictions.

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

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

* Remove superfluous parenthesis.

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

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

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

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

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

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

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

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

* Remove std namespace qualifier.

* Fix unsigned_int size_t comparison.

* Set num_features as int for consistency with the rest of the codebase.

* Make sure constraints exist before recomputing them.

* Initialize previous constraints in UpdateConstraints.

* Update monotone constraints restrictions.

* Refactor UpdateConstraints loop.

* Update src/io/config.cpp
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* Delete white spaces.
Co-authored-by: Charles Auguste <charles.auguste@sig.com>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* redirect log to python console (#3090)

* redir log to python console

* fix pylint

* Apply suggestions from code review

* Update basic.py

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

* Update c_api.h

* Apply suggestions from code review

* Apply suggestions from code review

* super-minor: better wording
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
Co-authored-by: StrikerRUS <nekit94-12@hotmail.com>

* re-order includes (fixes #3132) (#3133)

* Revert "re-order includes (fixes #3132) (#3133)" (#3153)

This reverts commit 656d2676

.

* Missing change from previous rebase

* Minor cleanup and removal of development scripts.

* Only set gpu_use_dp on by default for CUDA. Other minor change.

* Fix python lint indentation problem.

* More python lint issues.

* Big lint cleanup - more to come.

* Another large lint cleanup - more to come.

* Even more lint cleanup.

* Minor cleanup so less differences in code.

* Revert is_use_subset changes

* Another rebase from master to fix recent conflicts.

* More lint.

* Simple code cleanup - add & remove blank lines, revert unneccessary format changes, remove added dead code.

* Removed parameters added for CUDA and various bug fix.

* Yet more lint and unneccessary changes.

* Revert another change.

* Removal of unneccessary code.

* temporary appveyor.yml for building and testing

* Remove return value in ReSize

* Removal of unused variables.

* Code cleanup from reviewers suggestions.

* Removal of FIXME comments and unused defines.

* More reviewers comments cleanup.

* More reviewers comments cleanup.

* More reviewers comments cleanup.

* Fix config variables.

* Attempt to fix check-docs failure

* Update Paramster.rst for num_gpu

* Removing test appveyor.yml

* Add ƒCUDA_RESOLVE_DEVICE_SYMBOLS to libraries to fix linking issue.

* Fixed handling of data elements less than 2K.

* More reviewers comments cleanup.

* Removal of TODO and fix printing of int64_t

* Add cuda change for CI testing and remove cuda from device_type in python.

* Missed one change form previous check-in

* Removal AdditionConfig and fix settings.

* Limit number of GPUs to one for now in CUDA.

* Update Parameters.rst for previous check-in

* Whitespace removal.

* Cleanup unused code.

* Changed uint/ushort/ulong to unsigned int/short/long to help Windows based CUDA compiler work.

* Lint change from previous check-in.

* Changes based on reviewers comments.

* More reviewer comment changes.

* Adding warning for is_sparse. Revert tmp_subset code. Only return FeatureGroupData if not is_multi_val_

* Fix so that CUDA code will compile even if you enable the SCORE_T_USE_DOUBLE define.

* Reviewer comment cleanup.

* Replace warning with Log message. Removal of some of the USE_CUDA. Fix typo and removal of pragma once.

* Remove PRINT debug for CUDA code.

* Allow to use of multiple GPUs for CUDA.

* More multi-GPUs enablement for CUDA.

* More code cleanup based on reviews comments.

* Update docs with latest config changes.
Co-authored-by: Gordon Fossum <fossum@us.ibm.com>
Co-authored-by: ChipKerchner <ckerchne@linux.vnet.ibm.com>
Co-authored-by: Guolin Ke <guolin.ke@outlook.com>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
Co-authored-by: StrikerRUS <nekit94-12@hotmail.com>
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Use Ubuntu Focal image at Travis

* test gcc

* test Bionic and gcc

* test Focal with another Python version for GPU test

* revert testing changes

* install linkchecker via pip

* simplify linkchecker config

* Update Python-Intro.rst

* Update README.rst

* [R-package] add R package logo

* more changes

* add logo in the place CRAN expects

* revert unnecessary Rbuildignore stuff

* uploaded hex logo for R-package in SVG format (#3340)

* remove duplicate logo and fix CI

* use SVG instead of PNG
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* bump RTD theme version

* Update requirements_rtd.txt