* minor mypy type errors fixed
* fix some warnings from mypy
* fix 3 mypy warnings
* selectively ignored some mypy errors
* minor mypy type errors fixed
* minor mypy type errors fixed
* minor mypy type errors fixed
* added import
* Update python-package/lightgbm/callback.py
* Apply suggestions from code review
* Apply suggestions from code review
Co-authored-by: James Lamb <jaylamb20@gmail.com>
Co-authored-by: James Lamb <jaylamb20@gmail.com>
* 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
* 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
* ranker support wip
* fix ranker tests
* fix _make_ranking rnd gen bug, add sleep to help w stoch binding port failed exceptions
* add wait_for_workers to prevent Binding port exception
* another attempt to stabilize test_dask.py
* requested changes: docstrings, dask_ml, tuples for list_of_parts
* fix lint bug, add group param to test_ranker_local_predict
* decorator to skip tests with errors on fixture teardown
* remove gpu ranker tests, reduce make_ranking data complexity
* another attempt to
silence client, decorator does not silence fixture errors
* address requested changes on 1/20/20
* skip test_dask for all GPU tasks
* address changes requested on 1/21/21
* issubclass instead of __qualname__
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
* parity in group docstr with sklearn
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
* _make_ranking docstr cleanup
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
* 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
Nikita Titov
Zhuyi Xue
Frank Fineis
Tara Jawahar
James Lamb
Ray Bell
Belinda Trotta