GitLab

[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)

[python-package] remove uses of deprecated NumPy random number generation APIs, require 'numpy>=1.17.0' (#6468)

* [python-package] Allow to pass early stopping min delta in params

* Fix test

* Add separate test

* Fix

* Add to cpp config

* Adjust test

* Adjust test

* Debug

* Revert

* Apply suggestions from code review

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

[python-package] allow use of early_stopping_round<=0 to turn off early stopping (fixes #6401) (#6406)