Generate Diverse Counterfactual Explanations for any machine learning model.
Full Changelog: https://github.com/interpretml/DiCE/compare/v0.8...v0.9
Contributors: @gaugup, @amit-sharma
The release contains the following:-
A big thank you to @gaugup and @soundarya98 for their contributions.
Thank you @gaugup and @gregorybchris for your contributions!
Thank you @gaugup and @soundarya88 for your contributions!
features_to_vary
and permitted_range
parameters for both continuous and categorical featuresdice_ml.Model
constructor. DiCE accepts inputs in the original data frame and does its transformations internallydocs/source/notebooks/
A big thanks to @raam93, @soundarya98 and @gaugup for this release!