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Implement counterfactual explanations

Open zyteka opened this issue 2 years ago • 1 comments

Counterfactual explanations are a popular and very useful way of explaining an ML model prediction. To start, we should implement a basic optimization approach, with the potential to expand into more detailed algorithms in the future.

zyteka avatar Aug 18 '23 14:08 zyteka

Made progress but am blocked by bug in need of fix in the pymoo library. Will revisit later

zyteka avatar Aug 31 '23 20:08 zyteka