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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)

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

[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>

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

[python-package] fix access to Dataset metadata in scikit-learn custom metrics and objectives (#6108)

[python-packages] [docs] add type hints and define 'array-like' for X, y, group in scikit-learn interface (#5757)

* [python-package] fix mypy errors about scikit-learn properties

* Update python-package/lightgbm/sklearn.py

[python-package] add type hints on feature_name and categorical_feature in sklearn interface (#5747)