Aplr

Latest version: v10.7.4

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10.4.6

APLR now also works with numpy 2.0.0.

10.4.5

Fixed a minor bug regarding the method _get_unique_term_affiliation_shape_. When invoking this method from one of the underlying logit APLRRegressor models in an APLRClassifier model, then the method previously had no default parameter value for _max_rows_before_sampling_. This has now been corrected.

10.4.4

Previously, parts of the progress report during fitting could still be printed if verbosity was 0. This has now been corrected.

10.4.3

- Fixed a bug in the _calculate_feature_importance_ method that used too much memory.
- Updated the presentation of APLR with a graphical interpretation example.

10.4.2

Fixed the bug in the _get_unique_term_affiliation_shape_ method that caused memory problems. The method is now safe to use.

10.4.1

Added a warning to the get_unique_term_affiliation_shape method when handling interactions as the method is currently very memory intensive when handling interaction terms and may crash without warning on larger models. Updated the documentation accordingly.

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