v1.2.0 (2024-11-15) #303
mmschlk
announced in
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New Features
shapiq.TabPFNExplainer
as a specialized version of theshapiq.TabularExplainer
which offers a streamlined variant of the explainer for the TabPFN model #301sentence_plot
function to theplot
module to visualize the contributions of words to a language model prediction in a sentence-like formatupset_plot
function to theplot
module to visualize the interactions of higher-order #290API Enhancements
explainer.explain()
now through a common interface for all explainer classes which now need to implement aexplain_function()
method()
interaction ifmin_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 attributegame_fun
parameter inshapiq.ExactComputer
togame
#297ExactComputer
,MoebiusConverter
,core
, among others to be more modular and flexible into thegame_theory
module #258plot
module optional #281Tests Enhancements
New Contributors
Full Changelog: v1.1.1...v1.2.0
This discussion was created from the release v1.2.0 (2024-11-15).
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