GitLab

change the destructor of ScoreUpdater to virtual

* add default definition for GetColWiseData and GetColWiseData

* fix warnings of template instantiation

* remove files in Makevars and LightGBM.vcxproj

* [python-package] add more type hints in basic.py

* Booster handle is a c_void_p

* Extract streaming to own PR

* small merge fixes and cleanup

* linting fixes

* fix cast warning

* Fix accidental deletion during branch transfer

* responded to initial triage comments

* Added more tests to use create-from-samples APIs

* added mutex and adjusted nclasses logic

* Fix thread-safety for pushing data to sparse bins through Push APIs

* lint and doc fixes

* Small SWIG fix

* nit fix

* Responded to StrikerRUS comments

* fix breaking change after merge with master

* Extract streaming to own PR

* small merge fixes and cleanup

* Fix accidental deletion during branch transfer

* responded to initial triage comments

* Added more tests to use create-from-samples APIs

* Fix rstcheck call in ci

* remove TODOs

* Extract streaming to own PR

* small merge fixes and cleanup

* Fix accidental deletion during branch transfer

* responded to initial triage comments

* Added more tests to use create-from-samples APIs

* Small SWIG fix

* remove ci change

* responded to shiyu1994 comments

* responded to StrikerRUS comments

* Fixes from StrikerRUS comments

[python-package] highlight the path a sample takes through a tree in `plot_tree` and `create_tree_digraph` (fixes #4784) (#5119)

* highlight path in plot_tree

* lint

* rename x to example_case. support categorical features. add test

* lint

* check for exactly one row. test empty example_case

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

* handle missing values in numeric splits

* remove literal. add categorical split function

* make categorical feature more important. lint

* add enum. update categorical split. apply suggestions

* update numeric split decision

* lint

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

MAINT Prefix NUMERIC_TYPES to make it a internal object

* Update README.rst

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

* Fix potential overflow in linear trees

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

* refactor: 🎨 add statuc typing to a subset of basic functions

* refactor: 🎨 add statuc typing to a subset of basic functions

* revert black format on python basic functions file

* style: 🎨

 updating typing for c_array function

* branch rebase

* fix number of changed lines

* Update python-package/lightgbm/basic.py
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
Co-authored-by: James Lamb <jaylamb20@gmail.com>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* dump sorted parameter aliases

* update lgb.check.wrapper_param

* update _choose_param_value to look like lgb.check.wrapper_param

* apply suggestions from review

* reduce diff

* move DumpAliases to config

* remove unnecessary check

* restore parameter check

* [R-package] [docs] clarify shape of predictions

* Apply suggestions from code review
Co-authored-by: Michael Mayer <mayermichael79@gmail.com>

* regenerate docs

* apply suggestions from code review

* fix linting error abouut long lines
Co-authored-by: Michael Mayer <mayermichael79@gmail.com>

* initial work for boosting and evaluation with CUDA

* fix compatibility with CPU code

* fix creating objective without USE_CUDA_EXP

* fix static analysis errors

* fix static analysis errors

* Improve readme on experimental cuda usage

* Revert header style change

* [python-package] add more type hints on Booster

* add return to Callable

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

* docs: typo in documentation of parameter init_model

* docs: actually fix typo and build docs
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* Adjust LGBM_DatasetCreateFromSampledColumn to handle distributed data better

* linting fix

* switch to 1 API with breaking change

* Fix pything native call

* more python test fixes

[R-package] raise an informative error when custom objective produces incorrect output (fixes #5323) (#5329)

* [python-package] add type hints on Booster.update()

* add __boost()

add validate_features to refit

* [python-package] remove inner function _construct_dataset() in LGBMModel.fit()

* switch order

* [python-package] add type hints on predict() methods

* formatting

* allow custom weighing in sklearn api

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

* switch to single prediction type argument

* linter

* missing piece of code

* comments

* linter

* fix test

* revert incorrect 'fix'

* fix failing test

* fix test again

* modify recently introduced tests after changes here

* rename prediction types

* rebase

* restore tests for prediction type in params

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

* check feature names and order in predict with dataframe

* slice df in predict to remove the target

* scramble features

* handle int column names

* only change column order when needed

* include validate_features param in booster and sklearn estimators

* document validate_features argument

* use all_close in preds checks and check for assertion error to compare different arrays

* perform remapping and checks in cpp

* remove extra logs

* fixes

* revert cpp

* proposal

* remove extra arg

* lint

* restore _data_from_pandas arguments

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

* move data conversion to Predictor.predict

* use Vector2Ptr
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

Update basic.py