GitLab

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

* Update docs.

* that is

* Implement suggestions

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

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

* Update basic.py

* Update sklearn.py

* Update basic.py

* Update basic.py

* Update basic.py

* Update basic.py

* Update basic.py

* Update basic.py

* Update basic.py

* Update basic.py

* Update basic.py

* Update sklearn.py

* Update sklearn.py

* Update sklearn.py

* [python-package] Add superfluous-else-raise rule to ruff lint configuration

* [python-package] Fix code to follow superfluous-else-raise rule

* [python-package] Move RET506 after RET504 to maintain alphabetical order and add source rule set comment

* [python-package] Revert unintended change to preserve original formatting

* [python-package] Test serialization and deserialization from in-memory string

Test case for #6851

* [python-package] Fill in `params` when loading from in-memory string

This fixes #6851 by using the same workaround as when loading the model
from a file.

* test_basic: use rng instead of legacy numpy RandomState

* test_basic: remove debug prints leftovers
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* test_basic: add boolean, array of float and array of integers to testcase
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* test_basic: make a cheaper model (2 rounds with 7 leaves each)
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* test_basic: bugfix typos

* python_package_test: move string load test from basic to engine

* test_engine: catch params ignored warnings

* test_engine: be explicit about parameters assertion

* test_engine: shush linter complaint

* test_basic: delete empty line
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* test_engine: even cheaper model with less features
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* test_engine: delete redundant assert
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* test_engine: run pre-commit and take it's word for it

* test_engine: be explicit in an E712 compliant way

* test_engine.py: pass different value as argument to make sure it is ignored

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Co-authored-by: James Lamb <jaylamb20@gmail.com>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* [python-package] enforce keyword args in internal functions

* fix

* fixes

* empty commit

* [python-package] add a note about DART in early_stopping docstring

* add note in R docs too

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>

[python-package] do not copy column-major numpy arrays when creating Dataset from list of arrays (#6773)
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

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

Co-authored-by: José Morales <jmoralz92@gmail.com>

* Update append-comment.sh

* Update static_analysis.yml

* Update static_analysis.yml

* Update basic.py

* Update basic.py

* Update .pre-commit-config.yaml

* Update basic.py

* Update basic.py

* Update basic.py

* Update basic.py

* Update basic.py

* Update pyproject.toml

* Update pyproject.toml

* Update pyproject.toml

* Update pyproject.toml

* Update interactive_plot_example.ipynb

* Update pyproject.toml

* Update append-comment.sh

* Update basic.py

* Update basic.py

* Update pyproject.toml

* Update .pre-commit-config.yaml

* Update basic.py

* Update basic.py

* Update test_basic.R

* Update rank_objective.hpp

* Update histogram_16_64_256.cu

* Update static_analysis.yml

* ensure alphabetical order of rules

* do not copy column-major numpy arrays when creating Dataset

* fix logic

* lint

* code review

* update test

* move dataset test to basic

* increase features

* assert single layout

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

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

[ci] [python-package] [R-package] adapt to scikit-learn check_sample_weight_equivalence changes, stop testing against R 3.6 on Linux (#6733)

[python-package] adapt to scikit-learn 1.6 testing changes, pin more packages in R 3.6 CI jobs (#6718)

[python-package] remove support for passing 'feature_name' and 'categorical_feature' through train() and cv() (#6706)

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

[python-package] ignore scikit-learn 'check_sample_weight_equivalence' estimator check (fixes #6678) (#6679)

* [python-package] ignore scikit-learn 'check_sample_weight_equivalence' estimator check (fixes #6678)

* pin pyparsing in Python 3.8 environment

Co-authored-by: Atanas Dimitrov <nasko119@abv.bg>
Co-authored-by: James Lamb <jaylamb20@gmail.com>

[python-package] require `scikit-learn>=0.24.2`, make scikit-learn estimators compatible with `scikit-learn>=1.6.0dev` (#6651)
Co-authored-by: James Lamb <jaylamb20@gmail.com>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

[ci] [python-package] temporarily stop testing against scikit-learn nightlies, load lib_lightgbm earlier (#6654)

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

[python-package] Correctly recognize LGBMClassifier(num_class=2, objective="multiclass") as multiclass classification (#6524)

[python-package] Add `feature_names_in_` attribute for scikit-learn estimators (fixes #6279) (#6310)

[python-package] Add support for NumPy 2.0, test against nightly versions of dependencies (fixes #6454) (#6467)