v1.2.0 (2024-11-15)

New Features

• adds shapiq.TabPFNExplainer as a specialized version of the shapiq.TabularExplainer which offers a streamlined variant of the explainer for the TabPFN model #301
• adds a TabPFN example notebook to the documentation
• adds the sentence_plot function to the plot module to visualize the contributions of words to a language model prediction in a sentence-like format
• adds support for IsoForest models to explainer and tree explainer #278
• adds the upset_plot function to the plot module to visualize the interactions of higher-order #290

API Enhancements

• handles explainer.explain() now through a common interface for all explainer classes which now need to implement a explain_function() method
• adds the baseline_value into the InteractionValues object's value storage for the () interaction if min_order=0 (default usually) for all indices that are not ``SII```(SII has another baseline value) such that the values are efficient (sum up to the model prediction) without the awkward handling of the baseline_value attribute
• renames game_fun parameter in shapiq.ExactComputer to game #297
• refactors game theory computations like ExactComputer, MoebiusConverter, core, among others to be more modular and flexible into the game_theory module #258
• removes warning when class_index is not provided in explainers #298
• makes abbreviations in the plot module optional #281
• adds support for sub-selection of players in the interaction values data class #276 which allows retrieving interaction values for a subset of players

Tests Enhancements

• improves quality of the tests by adding many more semantic tests to the different interaction indices and computations #285

New Contributors

• @JuliaHerbinger made their first contribution in #287
• @r-visser made their first contribution in #289
• @heinzll made their first contribution in #285

Full Changelog: v1.1.1...v1.2.0