Generate Diverse Counterfactual Explanations for any machine learning model.
MIT License
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Published by amit-sharma 12 months ago
Published by amit-sharma over 1 year ago
Published by amit-sharma almost 2 years ago
Full Changelog: https://github.com/interpretml/DiCE/compare/v0.8...v0.9
Published by amit-sharma over 2 years ago
Contributors: @gaugup, @amit-sharma
Published by gaugup about 3 years ago
The release contains the following:-
Published by amit-sharma about 3 years ago
Published by amit-sharma about 3 years ago
A big thank you to @gaugup and @soundarya98 for their contributions.
Published by amit-sharma over 3 years ago
Thank you @gaugup and @gregorybchris for your contributions!
Published by amit-sharma over 3 years ago
Thank you @gaugup and @soundarya88 for your contributions!
Published by amit-sharma over 3 years ago
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!
Published by amit-sharma about 4 years ago
Here's the latest stable version.
Big thanks to @raam93 for leading the updates, and to @divyat09 for adding the VAE method.
Published by amit-sharma over 4 years ago
Supports counterfactual explanations for tensorflow and pytorch classifiers.