* [python] add type hints in docs/conf.py
* more specific hint for sphinx app
* Apply suggestions from code review
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
* [docs] [R-package] use CRAN-style builds when building pkgdown site
* install with --with-keep.source
* empty commit
* set new_proccess = FALSE to get a better traceback
* copy pkgdown config
* 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
* [R-package] fix R examples and lgb.plot.interpretation
* remove space in gitignore
* try data.table from conda-forge
* update FAQ
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
* added R-package docs generation routines
* change theme to be more consistent with sphinx_rtd_theme on main site in terms of color scheme
* placed man folder with old Rd files back
* specify full path to conda and make script more readable by one line - one pkg
* removed commented lines from build_r_site script
* made one line - one argument in build_reference() call
* pin R package versions
* fixed conflict
* 🎨 `sphinx.ext.autosummary` for generating Python-API summaries
Add `docs/.gitignore` to not track autosummary stubs
Add `sphinx.ext.autosummary` in `docs/conf.py`
Add 'members' and 'inherited-members' as default parameters
Add 'autosummary = True' for setting output with `:toctree:`
Add `.. autosummary::` tags to replace `.. autoclass::`
Previously the `Python-API.rst` dumped all of the Python API onto
a single page.
This replaces the Python-API documentation with an index listing
all modules, and paginates all functions and classes onto
separate pages.
* ✏️ Corrections following feedback
Drop `docs/.gitignore` to use the general `.gitignore`
Add `show-inheritance` to `autodoc_default_flags` in `docs/conf.py`
Fix `both` to `class` in `autoclass_content` in `docs/conf.py`
* ✏️ Replacing deprecated Sphinx parameter
Fix deprecated `autodoc_default_flags` to `autodoc_default_options`
* ✏️ Adding `autodoc_default_flags` in to support early Sphinx versions
Add `autodoc_default_flags` with parameters from
`autodoc_default_options`
* use file to install deps for docs
* added C_API docs
* use breathe without exhale
* added missed params descriptions and make Doxygen fail for warnings
* escape char hotfix
* ignore unknown directive for rstcheck
* better handle env variable
* hotfix for 'Unknown directive type' error with C_API=NO
* Update .gitignore
* fixed pylint
* use already defined constants in conf.py
* do not suppress Doxygen's output
* addressed review comments
* removed unneeded import
James Lamb
Thomas J. Fan
Nikita Titov
NovusEdge
Zhuyi Xue
Belinda Trotta
Alexander L. Hayes
Guolin Ke