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This PR corrects the incompatibility of the AIRS algorithm with scikit-learn pipelines, which caused a `RuntimeError` error when used. ## Changes - Added the p parameter explicitly to the constructor, replacing the use of kwargs - Updated the base class `get_params()` method to automatically retrieve valid parameters from the `__init__` method signature
… the default value due to an incorrect condition in BNSA. (#61) This pull request includes the following improvements: - Fix the `no_label_sample_selection` error, which was comparing with `nearest_difference` instead of `max_nearest_difference`, causing the type definition in the constructor to always return the default value. - Adds `__version__` dynamically via the package metadata. - Removes redundant validation from the table header in the `ProgressTable` class.
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